LAMPIRAN. Frequencies. Frequency Table. Universitas Sumatera Utara. Statistics
|
|
- Theodore Francis
- 5 years ago
- Views:
Transcription
1 LAMPIRAN Frequencies N Me an Median Mo de Minimum Maximum Sum Percentiles Missing Statistics us ia jk ihc dx who outcome ,0476 1,2857 1,7619 1,1429 1, ,0000 1,0000 2,0000 1,0000 1, ,00 1,00 2,00 1,00 1,00 19,00 1,00 1,00 1,00 1,00 75,00 2,00 2,00 3,00 2, ,00 81,00 111,00 72,00 77,00 36,0000 1,0000 2,0000 1,0000 1, ,0000 1,0000 2,0000 1,0000 1, ,0000 2,0000 2,0000 1,0000 1,0000 Frequency Table
2 19,00 24,00 28,00 29,00 32,00 34,00 35,00 36,00 38,00 39,00 40,00 41,00 42,00 43,00 44,00 45,00 46,00 48,00 49,00 50,00 51,00 52,00 55,00 56,00 64,00 69,00 75,00 usia Frequency Percent Percent Percent 1 1,6 1,6 1,6 2 3,2 3,2 4,8 3 4,8 4,8 9,5 2 3,2 3,2 12,7 3 4,8 4,8 17,5 2 3,2 3,2 20,6 2 3,2 3,2 23,8 3 4,8 4,8 28,6 2 3,2 3,2 31,7 4 6,3 6,3 38,1 4 6,3 6,3 44,4 1 1,6 1,6 46,0 2 3,2 3,2 49,2 2 3,2 3,2 52,4 1 1,6 1,6 54,0 2 3,2 3,2 57,1 2 3,2 3,2 60,3 3 4,8 4,8 65,1 2 3,2 3,2 68,3 7 11,1 11,1 79,4 1 1,6 1,6 81,0 5 7,9 7,9 88,9 3 4,8 4,8 93,7 1 1,6 1,6 95,2 1 1,6 1,6 96,8 1 1,6 1,6 98,4 1 1,6 1,6 100,0 100,0 100,0 wanita pria jk Frequency Percent Percent Percent 45 71,4 71,4 71, ,6 28,6 100,0 100,0 100,0 kuat lemah ihc Frequency Percent Percent Percent 15 23,8 23,8 23, ,2 76,2 100,0 100,0 100,0
3 Anaplast ANAPLAST Angiomat Atypical ATYPICAL Clear ce Fibrobla FIBROBLA meningot Meningot MENINGOT Ps ammoma PSAMMOMA SECRETOR Transiti TRANSITI dx Frequency Percent Percent Percent 1 1,6 1,6 1,6 1 1,6 1,6 3,2 2 3,2 3,2 6,3 2 3,2 3,2 9,5 2 3,2 3,2 12,7 1 1,6 1,6 14, ,9 15,9 30,2 4 6,3 6,3 36,5 1 1,6 1,6 38, ,9 15,9 54, ,0 27,0 81,0 3 4,8 4,8 85,7 1 1,6 1,6 87,3 1 1,6 1,6 88,9 3 4,8 4,8 93,7 4 6,3 6,3 100,0 100,0 100,0 derajat 1 who derajat 2 who derajat 3 who who Frequency Percent Percent Percent 56 88,9 88,9 88,9 5 7,9 7,9 96,8 2 3,2 3,2 100,0 100,0 100,0 outcome hidup mati Frequency Percent Percent Percent 49 77,8 77,8 77, ,2 22,2 100,0 100,0 100,0
4 Descriptives Descriptive Statistics usia jk ihc who outcome N (listwise) N Range Minimum Maximum Mean Std. Deviation Variance 56,00 19,00 75,00 43, , ,691 1,00 1,00 2,00 1,2857,45538,207 1,00 1,00 2,00 1,7619,42934,184 2,00 1,00 3,00 1,1429,43467,189 1,00 1,00 2,00 1,2222,41908,176 Crosstabs Case Processing Summary ihc * outcome Cases Missing N Percent N Percent N Percent 100,0% 0,0% 100,0% ihc * outcome Crosstabulation ihc kuat lemah outcome hidup mati Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 1,406 b 1,236 Continuity Correction a,689 1,406 Likelihood Ratio 1,320 1,251 Fis her's Exact Test Linear-by-Linear As sociation 1,384 1,239 N of Cases a. Computed only for a 2x2 table (2-sided) (1-sided),291,200 b. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 3,33.
5 Crosstabs Case Processing Summary ihc * who Cases Missing N Percent N Percent N Percent 100,0% 0,0% 100,0% ihc kuat lemah ihc * who Crosstabulation who derajat 1 who derajat 2 who Chi-Square Tests Pearson Chi-Square Continuity Correction a Likelihood Ratio Fis her's Exact Test Linear-by-Linear As sociation N of Cases Asymp. Sig. Value df (2-sided),098 b 1,754, ,000,095 1,758,097 1,756 a. Computed only for a 2x2 table (2-sided) (1-sided),667,534 b. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 1,67. Crosstabs Case Processing Summary outcome * who Cases Missing N Percent N Percent N Percent 100,0% 0,0% 100,0%
6 outcome * who Crosstabulation outcome hidup mati who derajat 1 who derajat 2 who Chi-Square Tests Asymp. Sig. Value df (2-sided) Pearson Chi-Square 1,940 b 1,164 Continuity Correction a,829 1,362 Likelihood Ratio 1,696 1,193 Fis her's Exact Test Linear-by-Linear As sociation 1,909 1,167 N of Cases a. Computed only for a 2x2 table (2-sided) (1-sided),177,177 b. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 1,56. KAPLAN MEYER Frequency Table jeniskelamin L P Frequency Percent Percent Percent tahun Frequency Percent Percent Percent
7 Kuat Lemah ki67 Frequency Percent Percent Percent Hidup Ma ti prognosis Frequency Percent Percent Percent grading Frequency Percent Percent Percent Descriptive Statistics waktu N (listwise) N Minimum Maximum Mean St d. Deviat ion <= usiake l Frequency Percent Perc ent Percent Analisis prognosis
8 Crosstabs [DataSet0] Ca se Processing Summary ki67 * prognosis jeniskelamin * prognosis us iakel * prognosis grading * prognosis Cases Missing N Percent N Percent N Percent 100.0% 0.0% 100.0% 100.0% 0.0% 100.0% 100.0% 0.0% 100.0% 100.0% 0.0% 100.0% ki67 * prognosis Crosstab ki67 Kuat Lemah prognosis Hidup Ma ti % 42.9% 54.0% % 57.1% 46.0% % 100.0% 100.0% Chi-Square Te sts Asymp. Sig. Value df (2-sided) Pearson Chi-Square.895 b Continuity Correction a Lik elihood Ratio Fisher's Exact Test N of Cases a. Computed only for a 2x2 table (2-sided) (1-sided) b. 0 cells (.0%) have expected count less than 5. The minimum expected count is
9 jeniskelamin * prognosis Crosstab jeniskelamin L P prognosis Hidup Ma ti % 21.4% 28.6% % 78.6% 71.4% % 100.0% 100.0% Pearson Chi-Square Continuity Correction a Lik elihood Ratio Fisher's Exact Test N of Cases Chi-Square Te sts Asymp. Sig. Value df (2-sided).450 b a. Computed only for a 2x2 table (2-sided) (1-sided) b. 1 cells (25.0%) have expected count less than 5. The minimum expected count is usiakel * prognosis Crosstab usiakel <= prognosis Hidup Ma ti % 7.1% 1.6% % 14.3% 11.1% % 21.4% 31.7% % 28.6% 34.9% % 28.6% 15.9% %.0% 3.2% %.0% 1.6% % 100.0% 100.0%
10 Pearson Chi-Square Likelihood Ratio N of Cases Chi-Square Tests Asymp. Sig. Value df (2-sided) a a. 10 cells (71.4%) have expected count less than 5. The minimum expected count is.22. grading * prognosis Crosstab grading prognosis Hidup Ma ti % 78.6% 88.9% % 21.4% 11.1% % 100.0% 100.0% Pearson Chi-Square Continuity Correction a Lik elihood Ratio Fisher's Exact Test N of Cases Chi-Square Te sts Asymp. Sig. Value df (2-sided) b a. Computed only for a 2x2 table (2-sided) (1-sided) b. 1 cells (25.0%) have expected count less than 5. The minimum expected count is 1 56.
11 Survival Function Censored Function Survival Cum Survival waktu
12 Survival Functions kuat-censored lemah-censored kuat lemah ki67kel Cum Survival waktu Log Rank (Mantel-Cox) Overall Comparisons Chi-Square df Sig Test of equality of survival dis tributions for the different levels of ki67kel. Log Rank (Mantel-Cox) Overall Comparisons Chi-Square df Sig Test of equality of survival dis tributions for the different levels of jnskelamin.
13 Survival Functions perempuan-censored laki-laki-censored perempuan laki-laki jnskelamin Cum Survival waktu Data pasien Meningioma Nama Usia Jenis Kelamin Tahun Ki-67 Lemah/kuat Hidup/Mati Waktu bertahan hidup(bulan) Grading Kim Yan 55 P 2013 Lemah Mati 1 1 Srikita 48 P 2013 Kuat Hidup 12 2 Nurlela 55 P 2014 Lemah Mati 1 2 Perangin Rabiatul Adawiyah 41 P 2013 Kuat Hidup 12 1 Fatimah 75 P 2014 Lemah Hidup 8 1 Suwartini 40 P 2014 Kuat Hidup 1 1 Juniar 50 P 2014 Lemah Mati 1 1 Kasmini 50 P 2013 Lemah Hidup 12 1
14 Andi 35 L 2014 Kuat Hidup 2 1 Rontina 51 P 2013 Lemah Mati 2 1 Apjer 28 L 2014 Kuat Hidup 6 1 Rotua manurung 42 P 2013 Kuat Hidup 10 1 Rosmida 48 P 2014 Kuat Hidup 5 1 Miriati 36 P 2014 Kuat Hidup 3 1 Junaidi 39 L 2014 Kuat Hidup 1 1 Wulan Sari 36 P 2014 Lemah Hidup 6 1 Nuraminah H Rismawaty simorangkir 50 P 2014 Kuat Hidup P 2014 Lemah Hidup 6 1 Yanti br 39 P 2014 Lemah Hidup 6 1 tambun Masrawati 35 P 2014 Kuat Hidup 6 1 Nurmauli butar-butar 34 P 2014 Lemah Hidup 6 1 Sarinta 64 P 2014 Kuat Hidup 6 1 sipayung Eddy 50 L 2014 Kuat Hidup 2 1 Siahaan Jamaluddin 50 L 2014 Kuat Hidup 1 1 Rita 50 P 2014 Kuat Hidup 6 1 harahap Iwan 34 L 2014 Lemah Hidup 1 2 Sulaiman Rohimah 24 P 2014 Lemah Mati 1 1 Suhandoko 28 L 2014 Lemah Hidup 2 1 Ruslan 52 L 2014 Kuat Hidup 4 1 Basaku 49 P 2014 Lemah Hidup 2 1 Nur Asnah 52 P 2013 Kuat Hidup 16 1
15 Murni Manurung 44 P 2014 Lemah Hidup 3 1 Monica 24 P 2014 Kuat Mati 1 2 Silaen sannur 52 P 2010 Lemah Hidup 35 1 ELPINA 40 P 2011 Lemah Hidup 26 1 MILIANA 29 P 2011 Kuat Hidup 20 1 TUMINEM 49 P 2012 Lemah Hidup 26 1 SUNARTI 38 P 2013 Kuat Mati 1 1 ABDUL HA 69 L 2013 Kuat Hidup 14 2 ABDURAHM 50 L 2013 Kuat Mati 1 2 SUPARMAN 45 L 2012 Kuat Hidup 22 1 ROGINI P 43 P 2013 Kuat Hidup 15 1 ROTUA 43 P 2012 Lemah Hidup 27 1 TINA TAM 42 P 2010 Kuat Mati 35 1 ARNITA 32 P 2012 Lemah Hidup 28 1 JUMIATI 40 P 2013 Lemah Mati 1 1 ROHIM HR 36 L 2013 Kuat Hidup 20 1 DELIDA G 38 P 2013 Lemah Hidup 15 1 BIBON TA 52 P 2013 Kuat Hidup 11 1 RISNAWAN 29 P 2012 Kuat Hidup 23 1 BRITJEN 19 L 2011 Kuat Mati 1 1 KARTINI 48 P 2012 Kuat Hidup 23 1 ARIANI 45 P 2012 Lemah Hidup 25 1 SUMAYANI 46 P 2010 Lemah Mati 1 1 DARWINSY 46 L 2013 Lemah Hidup 13 1 FARIDA H 56 P 2013 Kuat Hidup 17 1 KHAIRUL 40 L 2011 Lemah Mati 1 1 T TUTI L 55 P 2013 Kuat Hidup 22 1
16 MINTON A 39 L 2013 Lemah Hidup 11 2 SUMINEM 52 P 2012 Kuat Mati 1 1 DEDI SAN 28 L 2012 Lemah Hidup 21 1 SAHAT 39 L 2013 Lemah Hidup 9 1 SALMI 32 P 2013 Kuat Hidup 11 1
Item-Total Statistics
64 Reliability Case Processing Summary N % Cases Valid 46 00.0 Excluded a 0.0 46 00.0 a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of Items.869
More informationLAMPIRAN A KUISIONER
LAMPIRAN A KUISIONER LAMPIRAN B UJI RELIABILITAS DAN UJI VALIDITAS A. Kecerdasan Emosional a. Putaran Pertama Case Processing Summary N % Cases Valid 60 100.0 Excluded a 0.0 60 100.0 a. Listwise deletion
More informationLampiran 4. Validitas dan Reliabilitas Prosoial Variabel Prososial (Putaran Pertama)
86 Lampiran 4. Validitas dan Reliabilitas Prosoial Variabel Prososial (Putaran Pertama) Case Processing Summary N % Cases Valid 31 100.0 Excluded a 0.0 Total 31 100.0 a. Listwise deletion based on all
More information0= Perempuan, 1= Laki-Laki
Responden Menurut Umur Descriptive Statistics N Minimum Maximum Mean Std. Deviation Umur 34 21 56 28,12 6,763 Valid N (listwise) 34 Responden Menurut Jenis Kelamin 0= Perempuan, 1= Laki-Laki Jenis_Kelamin
More informationLampiran 3. Hasil Uji Validitas
87 Lampiran 3. Hasil Uji Validitas 1. Image Correlations IMAGE IMAGE IMAGE IMAGE IMAGE JML SKOR 1 2 3 4 5 IMAGE Spearman's rho IMAGE 1 Correlation Coefficient 1.000.465 **.521 **.089.240.686 ** Sig. (2-tailed)..010.003.641.201.000
More informationStatistics as a Tool. A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations.
Statistics as a Tool A set of tools for collecting, organizing, presenting and analyzing numerical facts or observations. Descriptive Statistics Numerical facts or observations that are organized describe
More informationChi-square test. Wenli Lu Dept. Health statistics School of public health Tianjin medical university. Chi-square
Chi-square test Wenli Lu Dept. Health statistics School of public health Tianjin medical university Chi-square =0 O E ( O E) ( O E) 2 1 Example Is there difference of gender distribution between treatment
More information1. Below is the output of a 2 (gender) x 3(music type) completely between subjects factorial ANOVA on stress ratings
SPSS 3 Practice Interpretation questions A researcher is interested in the effects of music on stress levels, and how stress levels might be related to anxiety and life satisfaction. 1. Below is the output
More information!!!!!!!! Aisha Habeeb AL0117. Assignment #2 Part 3. Wayne State University
Aisha Habeeb AL0117 Assignment #2 Part 3 Wayne State University Assignment 2; Part 3 A. Habeeb Page 2 of 8 Sample This study, including 50 participants, was conducted to determine the effectiveness of
More informationSkala Stress. Putaran 1 Reliability. Case Processing Summary. N % Excluded a 0.0 Total
Skala Stress Putaran 1 Reliability Case Processing Summary N % Cases Valid Excluded a 0.0 Total a. Listwise deletion based on all variables in the procedure. Reliability Statistics Cronbach's Alpha N of
More informationBusiness Research Methods. Introduction to Data Analysis
Business Research Methods Introduction to Data Analysis Data Analysis Process STAGES OF DATA ANALYSIS EDITING CODING DATA ENTRY ERROR CHECKING AND VERIFICATION DATA ANALYSIS Introduction Preparation of
More informationSubescala D CULTURA ORGANIZACIONAL. Factor Analysis
Subescala D CULTURA ORGANIZACIONAL Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 3,44 1,244 224 2 3,43 1,258 224 3 4,50,989 224 4 4,38 1,118 224 5 4,30 1,151 224 6 4,27 1,205
More informationTheoretical Exam. Monday 15 th, Instructor: Dr. Samir Safi. 1. Write your name, student ID and section number.
بسم االله الرحمن الرحيم COMPUTER & DATA ANALYSIS Theoretical Exam FINAL THEORETICAL EXAMINATION Monday 15 th, 2007 Instructor: Dr. Samir Safi Name: ID Number: Instructor: INSTRUCTIONS: 1. Write your name,
More informationMMI 409 Spring 2009 Final Examination Gordon Bleil. 1. Is there a difference in depression as a function of group and drug?
MMI 409 Spring 2009 Final Examination Gordon Bleil Table of Contents Research Scenario and General Assumptions Questions for Dataset (Questions are hyperlinked to detailed answers) 1. Is there a difference
More informationSubescala B Compromisso com a organização escolar. Factor Analysis
Subescala B Compromisso com a organização escolar Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 4,42 1,108 233 2 4,41 1,001 233 3 4,99 1,261 233 4 4,37 1,055 233 5 4,48 1,018
More informationOnly Estrogen receptor positive is not enough to predict the prognosis of breast cancer
Young Investigator Award, Global Breast Cancer Conference 2018 Only Estrogen receptor positive is not enough to predict the prognosis of breast cancer ㅑ Running head: Revisiting estrogen positive tumors
More informationIntroduction to Quantitative Methods (SR8511) Project Report
Introduction to Quantitative Methods (SR8511) Project Report Exploring the variables related to and possibly affecting the consumption of alcohol by adults Student Registration number: 554561 Word counts
More informationHealth Consciousness of Siena Students
Health Consciousness of Siena Students Corey Austin, Siena College Kevin Flood, Siena College Allison O Keefe, Siena College Kim Reuter, Siena College EXECUTIVE SUMMARY We decided to research the health
More informationData Analysis. A cross-tabulation allows the researcher to see the relationships between the values of two different variables
Data Analysis A cross-tabulation allows the researcher to see the relationships between the values of two different variables One variable is typically the dependent variable (such as attitude toward the
More informationThe Long Road Home: Starting the Journey to Sobriety
The Long Road Home: Starting the Journey to Sobriety Joanna Kallendorf RN, BSN Auburn/AUM University NURS 7946 Evidence Based Practice III Small Test of Change April 8, 2015 Background and Significance
More informationThe study of correlation between BMI and infertility. Dr. seyed mohammadreza fouladi
The study of correlation between BMI and infertility Dr. seyed mohammadreza fouladi Female Infertility Infertility is a generally defined as one year unprotected intercourse without contraception. Approximately
More informationAPÊNDICE 6. Análise fatorial e análise de consistência interna
APÊNDICE 6 Análise fatorial e análise de consistência interna Subescala A Missão, a Visão e os Valores A ação do diretor Factor Analysis Descriptive Statistics Mean Std. Deviation Analysis N 1 4,46 1,056
More informationAPPENDIX 1 ETHICAL CLEARANCE
APPENDIX 1 ETHICAL CLEARANCE 75 APPENDIX 2 76 PROCEDURE FOR PREPARING OF LIVER HISTOLOGY SLIDES Overview: Histology involves the use of a set of techniques to examine the morphology, architecture and composition
More informationHere are the various choices. All of them are found in the Analyze menu in SPSS, under the sub-menu for Descriptive Statistics :
Descriptive Statistics in SPSS When first looking at a dataset, it is wise to use descriptive statistics to get some idea of what your data look like. Here is a simple dataset, showing three different
More informationNEUROBLASTOMA DATA -- TWO GROUPS -- QUANTITATIVE MEASURES 38 15:37 Saturday, January 25, 2003
NEUROBLASTOMA DATA -- TWO GROUPS -- QUANTITATIVE MEASURES 38 15:37 Saturday, January 25, 2003 Obs GROUP I DOPA LNDOPA 1 neurblst 1 48.000 1.68124 2 neurblst 1 133.000 2.12385 3 neurblst 1 34.000 1.53148
More informationCURRICULUM VITAE. : Gunawathi a/p Supramaniam. Tempat / tanggal lahir : Hospital Seremban ( 9/9/1992)
20 CURRICULUM VITAE Nama : Gunawathi a/p Supramaniam Tempat / tanggal lahir : Hospital Seremban ( 9/9/1992) Pekerjaan Agama Alamat : Mahasiswa : Hindu : Jl. Dr. Mansyur No. 29 Gang Sehat Medan, 20155 Nomor
More informationUniversitas Sumatera Utara
no umur umur j agama peerjaan ttinggal tpstroe rpa 1 56 2 2 2 2 1 1 1 2 47 2 2 2 2 2 2 1 3 77 2 2 2 2 2 1 1 4 75 2 1 2 1 2 2 1 5 45 2 1 2 2 2 1 1 6 66 2 1 1 2 2 2 5 7 49 2 1 1 3 2 2 1 8 69 2 1 3 2 2 2
More informationTypes of Statistics. Censored data. Files for today (June 27) Lecture and Homework INTRODUCTION TO BIOSTATISTICS. Today s Outline
INTRODUCTION TO BIOSTATISTICS FOR GRADUATE AND MEDICAL STUDENTS Files for today (June 27) Lecture and Homework Descriptive Statistics and Graphically Visualizing Data Lecture #2 (1 file) PPT presentation
More informationDAFTAR PUSTAKA. 1. Amirudin R. Fibrosis Hati dalam Buku Ajar Ilmu Penyakit Hati. 1st ed.
DAFTAR PUSTAKA 1. Amirudin R. Fibrosis Hati dalam Buku Ajar Ilmu Penyakit Hati. 1st ed. Jakarta: Jayabadi; 2007. 2. Guyton A, Hall J. Buku Ajar Fisiologi Kedokteran. 9th ed. New york: Guyton dan Hall;
More informationCLINICAL RESEARCH METHODS VISP356. MODULE LEADER: PROF A TOMLINSON B.Sc./B.Sc.(HONS) OPTOMETRY
DIVISION OF VISION SCIENCES SESSION: 2005/2006 DIET: 1ST CLINICAL RESEARCH METHODS VISP356 LEVEL: MODULE LEADER: PROF A TOMLINSON B.Sc./B.Sc.(HONS) OPTOMETRY MAY 2006 DURATION: 2 HRS CANDIDATES SHOULD
More informationROC Curves. I wrote, from SAS, the relevant data to a plain text file which I imported to SPSS. The ROC analysis was conducted this way:
ROC Curves We developed a method to make diagnoses of anxiety using criteria provided by Phillip. Would it also be possible to make such diagnoses based on a much more simple scheme, a simple cutoff point
More informationJMSCR Vol 05 Issue 03 Page March 2017
www.jmscr.igmpublication.org Impact Factor 5.84 Index Copernicus Value: 83.27 ISSN (e)-2347-176x ISSN (p) 2455-0450 DOI: https://dx.doi.org/10.18535/jmscr/v5i3.188 Comparison of Vacuum Assisted Closure
More informationAppendix 1. A. Procedure for preparing histopathology slides. The liver removed and stored immediately in buffered formalin 10 % for
Appendix 1 A. Procedure for preparing histopathology slides. The liver removed and stored immediately in buffered formalin 10 % for histopathological examination. The tissue fixed for at least 48 hours
More informationPrevalence of Obesity among High School Children in Chennai Using Discriminant Analysis
IOSR Journal of Mathematics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 4 Ver. III (Jul. Aug. 2017), PP 50-56 www.iosrjournals.org Prevalence of Obesity among High School Children
More informationCLINICAL RESEARCH METHODS VISP356. MODULE LEADER: PROF A TOMLINSON B.Sc./B.Sc.(HONS) OPTOMETRY
DIVISION OF VISION SCIENCES SESSION: 2006/2007 DIET: 1ST CLINICAL RESEARCH METHODS VISP356 LEVEL: MODULE LEADER: PROF A TOMLINSON B.Sc./B.Sc.(HONS) OPTOMETRY MAY 2007 DURATION: 2 HRS CANDIDATES SHOULD
More informationSOME NOTES ON STATISTICAL INTERPRETATION
1 SOME NOTES ON STATISTICAL INTERPRETATION Below I provide some basic notes on statistical interpretation. These are intended to serve as a resource for the Soci 380 data analysis. The information provided
More informationBEST PRACTICES FOR IMPLEMENTATION AND ANALYSIS OF PAIN SCALE PATIENT REPORTED OUTCOMES IN CLINICAL TRIALS
BEST PRACTICES FOR IMPLEMENTATION AND ANALYSIS OF PAIN SCALE PATIENT REPORTED OUTCOMES IN CLINICAL TRIALS Nan Shao, Ph.D. Director, Biostatistics Premier Research Group, Limited and Mark Jaros, Ph.D. Senior
More informationWhat you should know before you collect data. BAE 815 (Fall 2017) Dr. Zifei Liu
What you should know before you collect data BAE 815 (Fall 2017) Dr. Zifei Liu Zifeiliu@ksu.edu Types and levels of study Descriptive statistics Inferential statistics How to choose a statistical test
More informationDaniel Boduszek University of Huddersfield
Daniel Boduszek University of Huddersfield d.boduszek@hud.ac.uk Introduction to Correlation SPSS procedure for Pearson r Interpretation of SPSS output Presenting results Partial Correlation Correlation
More informationSupplementary Fig. 1: ATM is phosphorylated in HER2 breast cancer cell lines. (A) ATM is phosphorylated in SKBR3 cells depending on ATM and HER2
Supplementary Fig. 1: ATM is phosphorylated in HER2 breast cancer cell lines. (A) ATM is phosphorylated in SKBR3 cells depending on ATM and HER2 activity. Upper panel: Representative histograms for FACS
More informationSUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK
SUMMER 011 RE-EXAM PSYF11STAT - STATISTIK Full Name: Årskortnummer: Date: This exam is made up of three parts: Part 1 includes 30 multiple choice questions; Part includes 10 matching questions; and Part
More informationStatistics: A Brief Overview Part I. Katherine Shaver, M.S. Biostatistician Carilion Clinic
Statistics: A Brief Overview Part I Katherine Shaver, M.S. Biostatistician Carilion Clinic Statistics: A Brief Overview Course Objectives Upon completion of the course, you will be able to: Distinguish
More informationNotes for laboratory session 2
Notes for laboratory session 2 Preliminaries Consider the ordinary least-squares (OLS) regression of alcohol (alcohol) and plasma retinol (retplasm). We do this with STATA as follows:. reg retplasm alcohol
More informationQuantitative Methods in Computing Education Research (A brief overview tips and techniques)
Quantitative Methods in Computing Education Research (A brief overview tips and techniques) Dr Judy Sheard Senior Lecturer Co-Director, Computing Education Research Group Monash University judy.sheard@monash.edu
More informationImmediate-release Hydrocodone/Acetaminophen M Abbreviated Clinical Study Report R&D/08/1020
2.0 Synopsis Abbott Laboratories Individual Study Table Referring to Part of Dossier: (For National Authority Use Only) Name of Study Drug: Volume: Hydrocodone Bitartrate- Acetaminophen (NORCO ) Name of
More informationExplore. sexcntry Sex according to country. [DataSet1] D:\NORA\NORA Main File.sav
EXAMINE VARIABLES=nc228 BY sexcntry /PLOT BOXPLOT HISTOGRAM NPPLOT /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95 /MISSING LISTWISE /NOTOTAL. Explore Notes Output Created Comments Input Missing
More informationResearch in Business and Social Science
International Journal of Research in Business and Social Science 7(2), 2018: 22-29 Research in Business and Social Science IJRBS Vol 7 No 2, ISSN: 2147-4478 Contents available at www.ssbfnet.com/ojs https://doi.org/10.20525/ijrbs.v7i2.879
More informationBiostatistics II
Biostatistics II 514-5509 Course Description: Modern multivariable statistical analysis based on the concept of generalized linear models. Includes linear, logistic, and Poisson regression, survival analysis,
More informationChoosing the Correct Statistical Test
Choosing the Correct Statistical Test T racie O. Afifi, PhD Departments of Community Health Sciences & Psychiatry University of Manitoba Department of Community Health Sciences COLLEGE OF MEDICINE, FACULTY
More informationAlcohol Consumption Among YSU Students Statistics 3717, CC:2290 Elia Crisucci, Major in Biology Tracy Hitesman. Major in Biology Melissa Phillipson,
Alcohol Consumption Among YSU Students Statistics 3717, CC:2290 Elia Crisucci, Major in Biology Tracy Hitesman. Major in Biology Melissa Phillipson, Major in Biology May 7, 2002 I. Executive Summary: Many
More informationA Study on Type 2 Diabetes Mellitus Patients Using Regression Model and Survival Analysis Techniques
Available online at www.ijpab.com Shaik et al Int. J. Pure App. Biosci. 6 (1): 514-522 (2018) ISSN: 2320 7051 DOI: http://dx.doi.org/10.18782/2320-7051.5999 ISSN: 2320 7051 Int. J. Pure App. Biosci. 6
More informationPRINCIPLES OF STATISTICS
PRINCIPLES OF STATISTICS STA-201-TE This TECEP is an introduction to descriptive and inferential statistics. Topics include: measures of central tendency, variability, correlation, regression, hypothesis
More informationSTATISTICS IN CLINICAL AND TRANSLATIONAL RESEARCH
09/07/11 1 Overview and Descriptive Statistics a. Application of statistics in biomedical research b. Type of data c. Graphic representation of data d. Summary statistics: central tendency and dispersion
More informationSimple Linear Regression
Simple Linear Regression Assoc. Prof Dr Sarimah Abdullah Unit of Biostatistics & Research Methodology School of Medical Sciences, Health Campus Universiti Sains Malaysia Regression Regression analysis
More informationRegression. Page 1. Variables Entered/Removed b Variables. Variables Removed. Enter. Method. Psycho_Dum
Regression Model Variables Entered/Removed b Variables Entered Variables Removed Method Meds_Dum,. Enter Psycho_Dum a. All requested variables entered. b. Dependent Variable: Beck's Depression Score Model
More informationPOLS 5377 Scope & Method of Political Science. Correlation within SPSS. Key Questions: How to compute and interpret the following measures in SPSS
POLS 5377 Scope & Method of Political Science Week 15 Measure of Association - 2 Correlation within SPSS 2 Key Questions: How to compute and interpret the following measures in SPSS Ordinal Variable Gamma
More informationMTH 225: Introductory Statistics
Marshall University College of Science Mathematics Department MTH 225: Introductory Statistics Course catalog description Basic probability, descriptive statistics, fundamental statistical inference procedures
More informationKidane Tesfu Habtemariam, MASTAT, Principle of Stat Data Analysis Project work
1 1. INTRODUCTION Food label tells the extent of calories contained in the food package. The number tells you the amount of energy in the food. People pay attention to calories because if you eat more
More informationRegression Including the Interaction Between Quantitative Variables
Regression Including the Interaction Between Quantitative Variables The purpose of the study was to examine the inter-relationships among social skills, the complexity of the social situation, and performance
More informationAnalysis and Interpretation of Data Part 1
Analysis and Interpretation of Data Part 1 DATA ANALYSIS: PRELIMINARY STEPS 1. Editing Field Edit Completeness Legibility Comprehensibility Consistency Uniformity Central Office Edit 2. Coding Specifying
More informationImplications of Progesterone Receptor Status for the Biology and Prognosis of Breast Cancers
日大医誌 75 (1): 10 15 (2016) 10 Original Article Implications of Progesterone Receptor Status for the Biology and Prognosis of Breast Cancers Naotaka Uchida 1), Yasuki Matsui 1), Takeshi Notsu 1) and Manabu
More informationbivariate analysis: The statistical analysis of the relationship between two variables.
bivariate analysis: The statistical analysis of the relationship between two variables. cell frequency: The number of cases in a cell of a cross-tabulation (contingency table). chi-square (χ 2 ) test for
More informationTable of Contents. Plots. Essential Statistics for Nursing Research 1/12/2017
Essential Statistics for Nursing Research Kristen Carlin, MPH Seattle Nursing Research Workshop January 30, 2017 Table of Contents Plots Descriptive statistics Sample size/power Correlations Hypothesis
More informationGene expression profiling predicts clinical outcome of prostate cancer. Gennadi V. Glinsky, Anna B. Glinskii, Andrew J. Stephenson, Robert M.
SUPPLEMENTARY DATA Gene expression profiling predicts clinical outcome of prostate cancer Gennadi V. Glinsky, Anna B. Glinskii, Andrew J. Stephenson, Robert M. Hoffman, William L. Gerald Table of Contents
More informationThe Effectiveness of Hypnotherapy to Increase Self-esteem of Patients Treated with Methadone
International Journal of Basic Sciences & Applied Research. Vol., 4 (11), 682-687, 2015 Available online at http://www.isicenter.org ISSN 2147-3749 2015 The Effectiveness of Hypnotherapy to Increase Self-esteem
More informationBasic Steps in Planning Research. Dr. P.J. Brink and Dr. M.J. Wood
Basic Steps in Planning Research Dr. P.J. Brink and Dr. M.J. Wood Research Levels Level 1: There is little or no literature available on the topic or on the population. The purpose is to describe what
More informationMethodology for Statistical Analysis of
Environmental Health Perspectives Vol. 68, pp. 5-9, 1986 Methodology for Statistical Analysis of SENCAR Mouse Skin Assay Data by Judy A. Stober* Various response measures and statistical methods appropriate
More informationMidterm Exam MMI 409 Spring 2009 Gordon Bleil
Midterm Exam MMI 409 Spring 2009 Gordon Bleil Table of contents: (Hyperlinked to problem sections) Problem 1 Hypothesis Tests Results Inferences Problem 2 Hypothesis Tests Results Inferences Problem 3
More informationStudy Guide #2: MULTIPLE REGRESSION in education
Study Guide #2: MULTIPLE REGRESSION in education What is Multiple Regression? When using Multiple Regression in education, researchers use the term independent variables to identify those variables that
More informationAnalysis of Variance: repeated measures
Analysis of Variance: repeated measures Tests for comparing three or more groups or conditions: (a) Nonparametric tests: Independent measures: Kruskal-Wallis. Repeated measures: Friedman s. (b) Parametric
More informationThings you need to know about the Normal Distribution. How to use your statistical calculator to calculate The mean The SD of a set of data points.
Things you need to know about the Normal Distribution How to use your statistical calculator to calculate The mean The SD of a set of data points. The formula for the Variance (SD 2 ) The formula for the
More informationDAFTAR PUSTAKA. 1. Departemen Dalam Negeri. Undang-undang Republik Indonesia Nomor
57 DAFTAR PUSTAKA 1. Departemen Dalam Negeri. Undang-undang Republik Indonesia Nomor 36 Tahun 2009 Tentang Kesehatan [homepage on the internet]. c2009 [cited 2014 Mar 5]. Available from :http://www.depdagri.go.id/media/documents/2009/10/13/uu_no.36-2009.doc
More informationTHE STATSWHISPERER. Introduction to this Issue. Doing Your Data Analysis INSIDE THIS ISSUE
Spring 20 11, Volume 1, Issue 1 THE STATSWHISPERER The StatsWhisperer Newsletter is published by staff at StatsWhisperer. Visit us at: www.statswhisperer.com Introduction to this Issue The current issue
More informationCLINICAL BIOSTATISTICS
09/06/17 1 Overview and Descriptive Statistics a. Application of statistics in biomedical research b. Type of data c. Graphic representation of data d. Summary statistics: central tendency and dispersion
More informationContent. Basic Statistics and Data Analysis for Health Researchers from Foreign Countries. Research question. Example Newly diagnosed Type 2 Diabetes
Content Quantifying association between continuous variables. Basic Statistics and Data Analysis for Health Researchers from Foreign Countries Volkert Siersma siersma@sund.ku.dk The Research Unit for General
More informationLAMPIRAN A SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL DAUN SALAM
LAMPIRAN A SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL DAUN SALAM 81 LAMPIRAN B SERTIFIKAT PENGUJIAN STANDARISASI EKSTRAK ETANOL HERBA SAMBILOTO 82 LAMPIRAN C HASIL UJI PENETAPAN KADAR FLAVONOID TOTAL
More informationASDA2 ANALYSIS EXAMPLE REPLICATION SPSS C6
ASDA2 ANALYSIS EXAMPLE REPLICATION SPSS C6 * Full Syntax for Analysis Example Replication C6 GET SAS DATA='P:\ASDA 2\Data sets\nhanes 2011_2012\nhanes1112_sub_8aug2016.sas7bdat'. DATASET NAME DataSet2
More informationGiuseppe Viale for the BIG 1 98 Collaborative and International Breast Cancer Study Groups
Central Review of ER, PgR and HER2 in BIG 1 98 Evaluating Letrozole vs. Letrozole Tamoxifen vs. Tamoxifen Letrozole as Adjuvant Endocrine Therapy for Postmenopausal Women with Hormone Receptor Positive
More informationSection 6: Analysing Relationships Between Variables
6. 1 Analysing Relationships Between Variables Section 6: Analysing Relationships Between Variables Choosing a Technique The Crosstabs Procedure The Chi Square Test The Means Procedure The Correlations
More informationNORTH SOUTH UNIVERSITY TUTORIAL 2
NORTH SOUTH UNIVERSITY TUTORIAL 2 AHMED HOSSAIN,PhD Data Management and Analysis AHMED HOSSAIN,PhD - Data Management and Analysis 1 Correlation Analysis INTRODUCTION In correlation analysis, we estimate
More informationBiostatistics and Epidemiology Step 1 Sample Questions Set 2. Diagnostic and Screening Tests
Biostatistics and Epidemiology Step 1 Sample Questions Set 2 Diagnostic and Screening Tests 1. A rare disorder of amino acid metabolism causes severe mental retardation if left untreated. If the disease
More informationInternational Journal of Multidisciplinary Research and Modern Education (IJMRME) ISSN (Online): ( Volume I, Issue
AN ASSESSMENT OF BLOOD PRESSURE AND PEAK FLOW RATE AMONG SELECTED UNIVERSITY LEVEL FEMALE FOOTBALL PLAYERS Dr. Th. Nandalal Singh* & W. Geetarani Devi** * Department of Physical Education, Panjab, Chandigarh
More informationRunning Head: PARENTAL ATTITUDES & CHILDHOOD VACCINES 1
Running Head: PARENTAL ATTITUDES & CHILDHOOD VACCINES 1 Parental Attitudes Toward Childhood Vaccinations: Influences on Decision Making Final Project Stacey Chun Public Administration 706:Applied Data
More informationLearning Objectives 9/9/2013. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency
Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Last-Chance Ambulatory Care Webinar Thursday, September 5, 2013 Learning Objectives For
More information9/4/2013. Decision Errors. Hypothesis Testing. Conflicts of Interest. Descriptive statistics: Numerical methods Measures of Central Tendency
Conflicts of Interest I have no conflict of interest to disclose Biostatistics Kevin M. Sowinski, Pharm.D., FCCP Pharmacotherapy Webinar Review Course Tuesday, September 3, 2013 Descriptive statistics:
More informationSTATISTICS AND RESEARCH DESIGN
Statistics 1 STATISTICS AND RESEARCH DESIGN These are subjects that are frequently confused. Both subjects often evoke student anxiety and avoidance. To further complicate matters, both areas appear have
More informationChapter 6 Measures of Bivariate Association 1
Chapter 6 Measures of Bivariate Association 1 A bivariate relationship involves relationship between two variables. Examples: Relationship between GPA and SAT score Relationship between height and weight
More informationA study of association between demographic factor income and emotional intelligence
EUROPEAN ACADEMIC RESEARCH Vol. V, Issue 1/ April 2017 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.4546 (UIF) DRJI Value: 5.9 (B+) A study of association between demographic factor income and emotional
More informationStress Free Sexual Relationships for Effectual Health
Stress Free Sexual Relationships for Effectual Health Shashi Ojha Research Scholar Department of Psychology North East Frontier Technical University Along, Arunachal Pradesh, India Arvind Kumar Srivastava
More informationCOMETS: COlorectal MEtastatic Two Sequences
COMETS: COlorectal MEtastatic Two Sequences A Phase III Multicenter Trial Comparing Two Different Sequences of Second/Third Line Therapy (Irinotecan/Cetuximab Followed By FOLFOX-4 vs. FOLFOX-4 Followed
More informationLOGO. Statistical Modeling of Breast and Lung Cancers. Cancer Research Team. Department of Mathematics and Statistics University of South Florida
LOGO Statistical Modeling of Breast and Lung Cancers Cancer Research Team Department of Mathematics and Statistics University of South Florida 1 LOGO 2 Outline Nonparametric and parametric analysis of
More informationDAFTAR PUSTAKA. 2. Undurti N Das. Insulin in Sepsis and Septic Shock. JAPI. 2003; 51:
33 DAFTAR PUSTAKA 1. Dan L Longo, Dennis L Kasper, J Larry Jameson, Anthony S Fauci, Stephen L Hauser, Joseph Loscalzo. Harrison s Principles of internal medicine. USA: The McGraw-Hill Companies; 2012.
More informationArbolishvili GN, Mareev VY Institute of Clinical Cardiology, Moscow, Russia
THE VALUE OF 24 H HEART RATE VARIABILITY IN PREDICTING THE MODE OF DEATH IN PATIENTS WITH HEART FAILURE AND SYSTOLIC DYSFUNCTION IN BETA-BLOCKING BLOCKING ERA Arbolishvili GN, Mareev VY Institute of Clinical
More informationGlobal Perspective Inventory (GPI) Report
Global Perspective Inventory (GPI) 2012-2013 Report Executive Summary display higher levels of global competence than freshmen in all of the GPI scales except for the interpersonal social responsibility
More informationAssessing the Validity and Reliability of the Teacher Keys Effectiveness. System (TKES) and the Leader Keys Effectiveness System (LKES)
Assessing the Validity and Reliability of the Teacher Keys Effectiveness System (TKES) and the Leader Keys Effectiveness System (LKES) of the Georgia Department of Education Submitted by The Georgia Center
More informationBasic Biostatistics. Chapter 1. Content
Chapter 1 Basic Biostatistics Jamalludin Ab Rahman MD MPH Department of Community Medicine Kulliyyah of Medicine Content 2 Basic premises variables, level of measurements, probability distribution Descriptive
More informationList of Figures. List of Tables. Preface to the Second Edition. Preface to the First Edition
List of Figures List of Tables Preface to the Second Edition Preface to the First Edition xv xxv xxix xxxi 1 What Is R? 1 1.1 Introduction to R................................ 1 1.2 Downloading and Installing
More informationSupplementary Figure 1. FACS analysis of cells infected with TY93/H5N1 GFP-627E,
Supplementary Figure 1. FACS analysis of cells infected with TY93/H5N1 GFP-627E, TY93/H5N1 GFP-627K, or the TY93/H5N1 PB2(588-759) virus library. To establish our GFP- FACS screening platform, we compared
More informationALVARADO SCORE IN DIAGNOSIS OF ACUTE APPENDICITIS
ALVARADO SCORE IN DIAGNOSIS OF ACUTE APPENDICITIS *Md. Zikrullah Tamanna 1, Uzma Eram 2, Abdul Muthalib Hussain 3, ShafkatUllahKhateeb 4 and Badurudeen Mahmood Buhary 5 1 Emergency Department, King Fahad
More informationCentral pressures and prediction of cardiovascular events in erectile dysfunction patients
Central pressures and prediction of cardiovascular events in erectile dysfunction patients N. Ioakeimidis, K. Rokkas, A. Angelis, Z. Kratiras, M. Abdelrasoul, C. Georgakopoulos, D. Terentes-Printzios,
More information