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Complex Samples Cox Regression
Define Time-Dependent Predictor
Figure 12-4
Cox Regression Define Time-Dependent Predictor dialog box
The Define Time-Dependent Predictor dialog box allows you to create a predictor that is
dependent upon the built-in time variable, T_. You can use this variable to define time-dependent
covariates in two general ways:
If you want to estimate an extended Cox regression model that allows nonproportional
hazards, you can do so by defining your time-dependent predictor as a function of the time
variable T_ and the covariate in question. A common example would be the simple product of
the time variable and the predictor, but more complex functions can be specified as well.
Some variables may have different values at different time periods but aren’t systematically
relatedtotime.Insuchcases,youneedtodefine a segmented time-dependent predictor,
which can be done using logical expressions. Logical expressions take the value 1 if true
and 0 if false. Using a series of logical expressions, you can create your time-dependent
predictor from a set of measurements. For example, if you have blood pressure measured
once a week for the four weeks of your study ( identified as BP1 to BP4), you can define your
time-dependent predictor as (T_ <1)*BP1 +(T_ >= 1 & T_ <2)*BP2 +(T_ >= 2 & T_ <3)
* BP3 +(T_ >= 3 & T_ <4)*BP4. Notice that exactly one of the terms in parentheses will
be equal to 1 for any given case and the rest will all equal 0. In other words, this function
meansthatiftimeislessthanoneweek,useBP1; if it is more than one week but less than
two weeks, use BP2; and so on.
- IBM SPSS Complex Samples 19 1
- Technical support 3
- Customer Service 3
- Training Seminars 3
- Additional Publications 4
- Contents 5
- Part II: Examples 8
- 17 Complex Sample 9
- 18 Complex Samples Ratios 171 10
- Appendices 12
- A Sample Files 258 12
- B Notices 267 12
- Bibliography 269 12
- Index 271 12
- User’s Guide 13
- Procedures 15
- Plan Files 16
- Further Readings 17
- Creating a New Sample Plan 18
- Chapter 2 20
- Figure 2-2 20
- Sampling Wizard: Sample Size 24
- Define Unequal Sizes 25
- Figure 2-6 26
- Sampling Wizard: Plan Summary 27
- Figure 2-8 28
- Figure 2-9 29
- Sampling Wizard: Finish 30
- Analysis 33
- Creating a New Analysis Plan 34
- Chapter 3 36
- Figure 3-3 36
- Complex Samples Plan 42
- Complex Samples Options 46
- Chapter 7 52
- Figure 7-1 52
- Crosstabs d ialog box 52
- E Click Continue 59
- Select a dependent variable 60
- Optionally, you can: 60
- Figure 9-2 61
- Model dialog box 61
- Non-Nested Terms 70
- Chapter 10 74
- Figure 10-6 74
- CUSTOM subcommand) 77
- ODDSRATIOS subcommand) 77
- CRITERIA subcommand) 77
- SAVE subcommand) 77
- PRINT subcommand) 77
- Figure 11-7 85
- Define Event 91
- Predictors 92
- Subgroups 94
- Figure 12-6 95
- Statistics 96
- Hypothesis Te sts 99
- Chapter 12 102
- Figure 12-11 102
- Part II: 106
- Examples 106
- Using the Wizard 107
- Click Next 108
- Select Yes,addstage2now 111
- Chapter 13 114
- Figure 13-7 114
- 241972 as the value 115
- Click Finish 116
- Plan Summary 117
- Sampling Summary 117
- Sample Results 118
- Select Yes,addstage3now 126
- Figure 13-23 129
- first two stages of that plan 131
- file that you c reated 133
- 4231946 as the value 135
- SELECTION with CPS in 136
- Figure 13-39 145
- Figure 13-45 150
- Stage summary 150
- Related Procedures 153
- Complex Samples Analysis 154
- Preparation Wizard 154
- Preparing 157
- Related P 168
- Complex Samples Frequencies 169
- Click Continue 170
- Frequency Table 172
- Frequency by Subpopulation 172
- Complex Samples Descriptives 174
- Univariate Statistics 177
- Complex Samples Crosstabs 179
- Click Statis tics 181
- Crosstabulation 182
- Risk Estimate 183
- Complex Samples Ratios 185
- 1.3 as the test value 187
- Pivoted Ratios Table 188
- Running the Analysis 190
- Click Model 192
- Model Summary 195
- Tests of Model Effects 195
- Parameter Estimates 196
- Estimated Marginal Means 197
- Pseudo R-Squares 204
- Classification 205
- Odds Ratios 207
- Generalized Cumulative Model 218
- Figure 21-14 219
- Click Options 220
- Warnings 221
- Comparing Models 222
- Preparing the Data 224
- TE.DMY(30,6,2006) 225
- Select Days as the unit 229
- Click Define Event 232
- Click the Predictors tab 233
- Click the Statistics tab 234
- Sample Design Information 235
- Test of Proportional Hazards 236
- Click New 237
- Select t_age as a covariate 238
- Click OK 242
- Type 6 asthenumberofgroups 244
- 1 as the numeric expression 257
- Click the Plots tab 266
- Click the Options tab 267
- Pattern Values 270
- Log-Minus-Log Plot 271
- Sample Files 272
- Appendix 281
- Trademarks 282
- Bibliography 283
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