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NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIATHESIS SURVIVAL ANALYSIS OF ARMY ENLISTED DEFENSE LANGUAGE INSTITUTE GRADUATE ATTRITION FACTORS by Philip J. Lukanich March 2023 Thesis Advisor: Second Reader:Ruriko Yoshida Candice Farney, The Research Analysis CenterMontereyApproved for public release. Distribution is unlimited.THIS PAGE INTENTIONALLY LEFT BLANK___ NAVAL POSTGRADUATE SCHOOL | MONTEREY, CALIFORNIA | WWW.NPS.EDUForm Approved OMB No. 07040188REPORT DOCUMENTATION PAGEPublic

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How to fill out survival analysis of army

01

Define the cohort of subjects (army personnel) for analysis.

02

Collect relevant data on the timing of events (e.g., injuries, retirements, etc.).

03

Determine the types of events to analyze (e.g., combat injuries, non-combat injuries).

04

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Interpret the results, focusing on survival rates and hazard ratios.

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Military leadership for strategic planning.

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What is survival analysis of army?

Survival analysis of army refers to the statistical methods used to analyze the time until an event of interest occurs, such as the time until the loss of life, injury, or other significant incidents among military personnel.

Who is required to file survival analysis of army?

Typically, military health professionals, statisticians, and administrative personnel are required to file survival analysis reports to assess the well-being and risk factors affecting army personnel.

How to fill out survival analysis of army?

Filling out a survival analysis involves collecting data on the events of interest, determining the time intervals for analysis, documenting survival times, and reporting the results using appropriate statistical methods.

What is the purpose of survival analysis of army?

The purpose of survival analysis in the army is to understand the risk factors affecting soldiers' health and safety, to improve operational strategies, and to inform health policies for better resource allocation.

What information must be reported on survival analysis of army?

Information must include demographic data, time to event data, types of events (e.g., combat-related injuries or illnesses), and any risk factors that may influence survival outcomes.

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