Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

Because this model contains no interaction terms, the odds ratio expression for the CAT, CHD association is given by e to the^b, ...

Which model? Requiresstrategy Computing the Odds Ratio It should not be surprising to see different values for corresponding c ...

Detailed Outline I. Overview(page 45) A. Focus:  Simple analysis  Multiplicative interaction  Controlling several confounders ...

C. Examples of no interaction and interaction on a multiplicative scale. D. A logistic model that allows for the assessment of m ...

Practice Exercises True or False (Circle T or F) T F 1. A logistic model for a simple analysis involving a (0, 1) exposure varia ...

three control variables. Then the logit form of a model that describes this situation is given by logit P(X)¼aþbEþg 1 AGEþg 2 SB ...

Test True or False (Circle T or F) T F 1. Given the simple analysis model, logit P(X)¼f þcQ, wherefandcare unknown parameters an ...

Consider a 1-year follow-up study of bisexual males to assess the relationship of behavioral risk factors to the acquisition of ...

Answers to Practice Exercises 1. T F: OR¼eb F: H 0 :b¼ 0 F: eb¼ad/bc F: risk forE¼1 is 1/[1þe(aþb)] T T F: OR 11 ¼OR 10 OR 01 ...

3 Computing the Odds Ratio in Logistic Regression n Contents Introduction 74 Abbreviated Outline Objectives Presentation Detaile ...

Introduction In this chapter, theE,V,Wmodelis extended to consider other coding schemes for a single exposure variable, includin ...

Objectives Upon completing this chapter, the learner should be able to: Given a logistic model for a study situation involving ...

Presentation I. Overview FOCUS Computing OR for E, D relationship adjusting for control variables  DichotomousE– arbitrary codi ...

Adjusted odds ratio for effect ofE adjusted forCs: RORE¼ 1 vs:E¼ 0 ¼exp bþ~ p 2 j¼ 1 djWj ! (giterms not in formula) II. Odds Ra ...

Coding RORd ðÞAa¼ 1 ;b¼ 0 RORdA¼exp  ^bAþ~p^2 j¼ 1 ^djAWj  ðÞBa¼ 1 ;b¼ 1 RORdB¼exp  2 ^bBþ~ p 2 j¼ 1 2 ^djBWj  (C)a = 100, ...

III. Odds Ratio for Arbitrary Coding ofE Model: dichotomous, ordinal or interval logit PðÞ¼X aþbEþ~ p 1 i¼ 1 giVi þE~ p 2 j¼ 1 d ...

E*(group 1) vs.E**(group 2) RORE*vs:E**¼exp  ðE*E**Þb þðE*E**Þ~ p 2 j¼ 1 djWj  Same as RORE¼avs:E¼b¼exp  ðabÞb þðabÞ~ p 2 ...

No interaction: RORE*vs.E**¼exp [(E*E**)b] If (E*E**)¼1, then ROR ¼exp(b) e.g.,E*¼1 vs.E**¼ 0 orE*¼2 vs.E**¼ 1 Note that if SS ...

IV. The Model and Odds Ratio for a Nominal Exposure Variable (No Interaction Case) Several exposures:E 1 ,E 2 ,...,Eq  Model  ...

No interaction model: logit PðÞ¼X aþb 1 E 1 þb 2 E 2 þ... þbk 1 Ek 1 þ~ p 1 i¼ 1 giVi logit PðÞ¼X aþb 1 OCC 1 þb 2 OCC 2 þb 3 ...