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A Note on Statistical Methods for Most-Frequently Seen 3-Type of Data
-
- Dewi Rahardja
- Data types are important concept when designing and planning a study or analysis because the existing statistical methods in the literature can only be used with certain data types along with their assumptions. The basic/ majority 3-type of (response or outcome measure) data are continuous, categorical/discrete, and Time-To-Event (TTE). One has to analyze continuous data differently than categorical and also differently than TTE data; and vice versa. Otherwise, inappropriate choice of statistical methods would result in improper analyses and very biased results; yield to misleading conclusions and recommendations. Therefore, knowing the types of data one encounters would enable one to pre-specify the appropriate method of analysis. The purpose of this (integrated) short-note article is for teaching and training: to point-out and note the most-frequently seen 3-type of data in the real-world applications with the well-established statistical methodologies in the literature where the computing is doable via popular statistical software.
- Select Volume / Issue:
- Year:
- 2021
- Type of Publication:
- Article
- Keywords:
- Types of Data; Continuous; Categorical; Time-To-Event; Descriptive Statistics; Inferential Statistics
- Journal:
- IJASM
- Volume:
- 8
- Number:
- 1
- Pages:
- 1-8
- Month:
- January
- ISSN:
- 2394-2894