Kaohsiung Medical University
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Kaohsiung Medical University (高雄醫學大學) ** School Info Kaohsiung Medical University (高雄醫學大學) has 14 departments in Course Hero with 232 documents and 2 answered questions.

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Kaohsiung Medical University Documents (232)

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  • 60 pages 第三章資料的組織與整理 [EL].pdf

    第三章資料的組織與整理 [EL].pdf

  • 35 pages 第六章機率分配 [EL].pdf
    • 第六章機率分配 [EL].pdf
    • Kaohsiung Medical University
    • Social Statistics
    • SS 102 - Fall 2017
    • Social Statistics 1 Probability Distribution E-mail: a : jjchen@kmu.edu.tw jjc e @ u.edu.tw 07-3121101-2195-803 07 3 0 95 803 2 3 4 1 1. 2. 3. 4 4. 5. 6. 5
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    第六章機率分配 [EL].pdf

  • 26 pages 第五章機率 [EL].pdf
    • 第五章機率 [EL].pdf
    • Kaohsiung Medical University
    • Social Statistics
    • SS 102 - Fall 2017
    • Social Statistics Probability E-mail: a : jjchen@kmu.edu.tw jjc e @ u.edu.tw 07-3121101-2195-803 07 3 0 95 803 1. 2. 3. 4. 5 5. 6. 7.
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    第五章機率 [EL].pdf

  • 14 pages 第一章 緒論[EL].pdf
    • 第一章 緒論[EL].pdf
    • Kaohsiung Medical University
    • Social Statistics
    • SS 102 - Fall 2017
    • Social Statistics 20 313 1461.57 10211 30% 25 Introduction E-mail: jjchen@kmu.edu.tw 07-3121101-2195-803 3 4
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    第一章 緒論[EL].pdf

  • 12 pages meta_analysis2011.pdf
    • meta_analysis2011.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Meta-analysis Meta analysis Statistical analysis of a collection of analytic results Integrating research findings Increasingly popular in medical research yihsya@kmu.edu.tw Tel: 5335 Information on efficacy of a treatment is available from a number
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    meta_analysis2011.pdf

  • 14 pages b_class17.pdf
    • b_class17.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Sample size? Sample Size Calculation 17.1 Sample size p-value0.05 2 Sample Size Calculation ? test statistics, :test (if =0.05) X Z= subjects Z1- n X (experimental studies, ) n 1.96 n 1.96 (X ) 2 n (observational) 3 Sample Size sample size (statis
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    b_class17.pdf

  • 14 pages b_class15.pdf
    • b_class15.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Y 15.1 meanings of parameter estimates Multiple regression Outcome Y is a continuous variable Only one X, and X is continuousSimple Linear Regression Only one X, and X is categoricalANOVA All Xs are continuousMultiple Linear Regression All Xs are categori
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    b_class15.pdf

  • 8 pages b_class11.pdf
    • b_class11.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Measure of effect size in cross tab 11.1 risk differences and risk ratio Pe=probability of disease for exposure Pue=probability of disease for no exposure Disease no disease exposure a b no exposure c d Measure of effect size in cross tab Pe=probability o
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    b_class11.pdf

  • 7 pages b_class16.pdf
    • b_class16.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Nonparametric Method (or Distribution Free Method) Non-parametric Statistics z underlying distribution! z continuous variables (rank) Chapter 9, Rosner book Nonparametric Method (or Distribution Free Method) z , Nonparametric Methods ! z Quick & Dirty! Qu
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    b_class16.pdf

  • 8 pages b_class13.pdf
    • b_class13.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Design 13.1 correlation coefficient Continuous Outcome (y) Categorical Continuous Pearson Correlation coeff. Linear regression Spearman Correlation coeff. t-test / ANOVA Linear models Wilcoxon Rank-Sum test Kruskal-Wallis test Categorical Logistic Categor
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    b_class13.pdf

  • 7 pages b_class12.pdf
    • b_class12.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • 12.1 kappa statistic 10,5,5 5, 4 5, 4 ? Kappa statistic real C ount M Total % M S TESTER S 4 40.00 1 10.00 5 50.00 1 10.00 4 40.00 5 50.00 5 50.00 5 50.00 10 2( , (n), (raters A or B), 2 raters independently classify N persons into k categories rater A
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    b_class12.pdf

  • 5 pages b_class14.pdf
    • b_class14.pdf
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Simple Linear Regression 14.1 simple linear regression y=+x+e y dependent variable,the value of the response variable to be predicted x independent variable,the explanatory variable used to predict the value of y the point at which the regression line c
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    b_class14.pdf

  • 13 pages b_class2.pdf
    • b_class2.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • Scale of Measurement 2.1 Basic Statistics (categorical variable) (Nominal Scale) (Ordinal Scale) (continuous/numerical variable) (Interval Scale) (Ratio Scale) 2 Types of Variables A single variable can be: categorical variables Nominal Scale (gender
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    b_class2.pdf

  • 14 pages b_class7.pdf
    • b_class7.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 7.1 when do we use ANOVA Analysis of Variance (ANOVA) , 4.6 4.4 4.4 4.2 4.2 4 4 3.8 3.8 att att 4.6 3.6 3.6 3.4 3.4 3.2 3.2 3 A B factor1 C 3 3 1 2 factor2 3 4.6 4.6 4.6 4.6 4.4 4.4 4.2 4.2 4 4 4.4 4.4 4.2 4.2 4 att att 3.8 3.8 3.8 3.8 3.6 3.6 3.6 3.6 3.4
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    b_class7.pdf

  • 9 pages b_class10.pdf
    • b_class10.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • McNemars test 10.1 McNemars test pairs McNemars test 100 100 exposed Non-exposed exposed 30 40 Non-exposed 20 10 100 30expexp 40expnon-exp nA 20non-expexp 10non-expnon-exp Concordant pairs, (outcome or event) Discordant pairs, A, B Type A discordant, na
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    b_class10.pdf

  • 11 pages b_class1.pdf
    • b_class1.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • Fundamental topics in Biostatistics Yi-Hsin Yang Kaohsiung Medical University e-mail: yihsya@kmu.edu.tw http:/cc.kmu.edu.tw/~yihsya , , ! 3 ! ! ! 4
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    b_class1.pdf

  • 9 pages b_class6.pdf
    • b_class6.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 2 samples 6.0 ? 1. vs , 2. , 2 2 samples ,pair 3 1. 2., , 4 2 samples 6.1 Paired t-test t 6 Paired t-test t : ,2 1 2 i n Xi1 X11 X21 Xi1 Xn1 Xi2 X12 X22 Xi2 Xn2 di= Xi1- Xi2 d1 d
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    b_class6.pdf

  • 9 pages manova_repeated_measure2011.pdf
    • manova_repeated_measure2011.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • Intermediate Topics in Biostatistics XY Analysis of Repeated Measurements Design (X) Continuous() Outcome (y) Yi-Hsin Yang Associate Professor, School of Pharmacy, KMU Director, Division of Statistical Analysis, Department of Medical Research Kaohsiung
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    manova_repeated_measure2011.pdf

  • 8 pages b_class8.pdf
    • b_class8.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 8.1 comparing percentages (percentage) (Chi-square tests) zpp0 (N)(n) (p= n n )( N N X100%) pp0 zs = p p0 Z p0(1 p0) n p p z(p1P2) (p1-p2) zs = p 1 p 2 p q ( 1 1 + ) n1 n2 p = n1 p1 + n2 p2 n1 + n2 q = 1 p Z
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    b_class8.pdf

  • 6 pages b_class4.pdf
    • b_class4.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 4.1 Estimation (statistical analysis) ! Estimation() vs Hypothesis Testing() Yes or No 2 continuous variables, 257595% () Mean SD Median 25 75 percentile percentile 95%CI 8.60 5.72 8.00 5.00 () 41.24 20.10 41.00 25.00 57.50 (32.94,49.54) () 98.31 0.68 98
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    b_class4.pdf

  • 10 pages b_class3.pdf
    • b_class3.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 3.0 (vs) 2 A11 B111 6head, 5dollar Prob (seeing head)=6/11 ? 555head, 556dollar Prob (seeing head)=555/1111 ? 3 4 C1111 probability distribution 6head, 5dollar Prob (seeing head)=6/11 ? X=number of head Probability of seeing the head side =prob(X=1)=1/2
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    b_class3.pdf

  • 11 pages b_class5.pdf
    • b_class5.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • 5.1 Hypothesis Testing study questions! 2 After seeing a table Examples of Study hypothesis Whether MDM2 genotype related to oral cancer? Whether betel quid chewing habit related to oral cancer? Are there any difference in caries index between boys and gi
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    b_class5.pdf

  • 6 pages mixed_GEE2011.pdf
    • mixed_GEE2011.pdf
    • Kaohsiung Medical University
    • science of philosophy
    • NCKU 1019 - Spring 2014
    • Repeated Measurements II MANOVA April May June = treatment + sex No missing, and equal-spaced Mixed model or GEE April May = treatment + sex June Allow missing data, and not equal-spaced primary assumptions underlying the analyses Mixed models extends the
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    mixed_GEE2011.pdf

  • 10 pages Dropbox 新手指南
    • Dropbox 新手指南
    • Kaohsiung Medical University
    • biolgy
    • MLSB 123 - Fall 2016
    • Dropbox 1 2 3 4 Dropbox 1 Dropbox Dropbox Windows Mac 1. 2. Dropbox WINDOWS MAC dropbox.com 1. dropbox.com 2. [] 3. [] 4. iOS Android 1. () 2. [] (iOS )
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    Dropbox 新手指南

  • 9 pages intervention_example
    • intervention_example
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • (intervention study) ANCOVA Factor( vs ) Covariates: (intervention study) (clinical trials) example: ANCOVA Factors: X1 () Covariates: C1(), C2(dummy of male), C3(age in years), Y = X1 + C1 + C2 + C3 Assume no interactions between Xs and Cs . exa
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    intervention_example

  • 13 pages survival_2012
    • survival_2012
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Time to Event Data Analysis (Survival Analysis) Rosner, section 14 Q Survival e-mail: yihsya@kmu.edu.tw analysis Q Time to event data Q Person-time data Concept of Time to event Lang TA, Secic M: How to Report Statistics in Medicine. 1997. ACP, PA, USA La
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    survival_2012

  • 8 pages survival_time_dependent
    • survival_time_dependent
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • PROPORTIONAL HAZARDS ASSUMPTION & TIME-DEPENDENT COVARIATES COX REGRESSION proportional hazards assumption Effects of risk factors hold constants for the whole follow-up time That is, no interactions between risk factors and follow-up time e-mail: yihs
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    survival_time_dependent

  • 11 pages roc_curve
    • roc_curve
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Sensitivity, Specificity & ROC curves Sensitivity & Specificity e-mail: yihsya@kmu.edu.tw Sensitivity & specificity Disease positive negative a b Nodisease c d a=true positive b=false negative c=false positive d=true negative (D vs ND) (positive vs negati
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    roc_curve

  • 19 pages logistic_regression2012
    • logistic_regression2012
    • Kaohsiung Medical University
    • Statistics for the Health Sciences
    • ABIT 3 - Spring 2010
    • Logistic Regression Rosner: Section 13.7 When 3 or more categories in Y Nominal logistic regression Ordinal logistic regression If x is a dummy variable x=1 for yes on a behavior; say, betel quid chewing x=0 for no on a behavior; say, no betel quid chew
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    logistic_regression2012

  • 8 pages 2nd服務學習課程簡介
    • 2nd服務學習課程簡介
    • Kaohsiung Medical University
    • Computer Science and Information Management
    • IT ACAI7 - Winter 2011
    • N1016 davidw@kmu.edu.tw 2804 Office hours: Mon 5:00-6:00PM (N1016) 4 3 12 e-learning 5 1 12 1 1. 2. 3. 4. 5. ( ) 6. 7.
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    2nd服務學習課程簡介

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