A researcher wants to study the effect of a new drug on patient survival. They have data from a randomized controlled trial, but some patients dropped out and were lost to follow-up. The researcher needs to estimate the causal effect of the drug on survival while accounting for the censoring. Which approach is most appropriate?

Use propensity score matching to adjust for confounders

Use survival analysis (e.g., Cox regression) within the randomized trial framework

Use time series analysis on the survival data

Compare average survival times between groups without accounting for censoring

A medical researcher is analyzing time-to-recovery for patients receiving two different treatments. The study has a fixed follow-up period, and some patients have not recovered by the end. The researcher wants to compare the recovery distributions between the two groups while adjusting for age and disease severity. Which approach is most appropriate?

Kaplan-Meier curves without any adjustment

Cox proportional hazards regression

Logistic regression on recovery status at the end of follow-up

Time series analysis of recovery rates over the follow-up period

A school district wants to know if a new reading program improves student test scores. They cannot randomly assign students to the program due to ethical and logistical reasons. They have data on students who chose to participate and those who did not, along with demographic and prior achievement data. Which approach is most appropriate to estimate the program's causal effect?

Propensity score matching to create comparable groups

Time series analysis of test scores over time

Simple correlation between program participation and test scores

Kaplan-Meier survival analysis of test score improvements

An economist observes that ice cream sales and drowning incidents both rise during summer months. They want to know if increased ice cream sales cause more drownings. Which analytical approach would best address this question?

Survival analysis of drowning incidents over time

Cross-correlation analysis between the two time series

Causal inference methods, such as a randomized experiment or quasi-experimental design

Time series forecasting of drowning incidents based on ice cream sales

Which method is considered the gold standard for establishing causal relationships?

Randomized controlled trial (RCT)

CompTIADataX

Domain 1Objective 4

Temporal Models DY0-001 Practice Questions (Page 5)

Part of the Mathematics and statistics domain, which accounts for 17% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

9concepts

17%of the exam

Questions 21–25

21expert · hard
A researcher wants to study the effect of a new drug on patient survival. They have data from a randomized controlled trial, but some patients dropped out and were lost to follow-up. The researcher needs to estimate the causal effect of the drug on survival while accounting for the censoring. Which approach is most appropriate?
Select an answer first
22expert · hard
A medical researcher is analyzing time-to-recovery for patients receiving two different treatments. The study has a fixed follow-up period, and some patients have not recovered by the end. The researcher wants to compare the recovery distributions between the two groups while adjusting for age and disease severity. Which approach is most appropriate?
Select an answer first
23application · medium
A school district wants to know if a new reading program improves student test scores. They cannot randomly assign students to the program due to ethical and logistical reasons. They have data on students who chose to participate and those who did not, along with demographic and prior achievement data. Which approach is most appropriate to estimate the program's causal effect?
Select an answer first
24application · medium
An economist observes that ice cream sales and drowning incidents both rise during summer months. They want to know if increased ice cream sales cause more drownings. Which analytical approach would best address this question?
Select an answer first
25foundation · easy
Which method is considered the gold standard for establishing causal relationships?
Select an answer first

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Temporal Models DY0-001 Practice Questions (Page 5)

Questions 21–25

An economist observes that ice cream sales and drowning incidents both rise during summer months. They want to know if increased ice cream sales cause more drownings. Which analytical approach would best address this question?

Which method is considered the gold standard for establishing causal relationships?

Keep studying — Mathematics and statistics