Epidemiological Data Analysis - Revision history

Angus: Marked this version for translation

2015-12-02T08:34:42Z

Marked this version for translation

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Angus at 08:22, 28 November 2015

2015-11-28T08:22:14Z

Albert at 04:46, 27 November 2015

2015-11-27T04:46:16Z

Albert: /* Data analysis using iSIKHNAS data case studies */

2015-11-27T04:43:29Z

‎Data analysis using iSIKHNAS data case studies

Catriona: /* Case Studies */

2015-05-10T09:55:06Z

‎Case Studies

Catriona at 14:26, 17 March 2015

2015-03-17T14:26:20Z

Catriona: /* Data Analysis Facilitator material */

2015-03-17T14:23:08Z

‎Data Analysis Facilitator material

Catriona: /* Data analysis using iSIKHNAS data case studies */

2015-03-17T14:19:36Z

‎Data analysis using iSIKHNAS data case studies

Catriona: /* Facilitator material */

2015-03-17T14:14:32Z

‎Facilitator material

Catriona at 14:13, 17 March 2015

2015-03-17T14:13:45Z

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 ==Data analysis using iSIKHNAS data case studies==
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 <references/>

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 ==Data analysis using iSIKHNAS data case studies==
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 <references/>

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 ==Data analysis using iSIKHNAS data case studies==
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 <references/>

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 ===Case Studies===
-* [[Case Study 1]]
+* [[Case Study 1|Case study 1: Performance measures for veterinary services]]
-* [[Case Study 2]]
+* [[Case Study 2|Case study 2: Seasonal prevalence of diarrhoea (Mencret) in cattle]]
-* [[Case Study 3]]
+* [[Case Study 3|Case study 3: Beef self-sufficiency (based on slaughter statistics)]]
 === Concluding remarks ===

@@ Baris 3: / Baris 3: @@
 === Pre-requisites ===
 This course is for veterinarians within the Indonesian animal health system. It is assumed that participants will have completed the ''Excel'', ''Basic Field Epidemiology'' and ''Surveillance'' training modules before this course. If you already know about epidemiology and how to use Excel, then these pre-requisite modules are not required.
@@ Baris 34: / Baris 35: @@
 ===[[Data Analysis Facilitator material]]===
 [[File:Nuvola apps edu miscellaneous.png|60px|left]]
 === Overview of data analysis  ===
@@ Baris 68: / Baris 71: @@
 * [[Case Study 3]]
-= Concluding remarks =
+=== Concluding remarks ===
 Data analysis is critical to good animal health management and policy formation. Indonesia is fortunate to have an excellent and newly functional animal health information system, iSIKHNAS. However, it is no use having one of the world's best information systems if no-one uses the data. Hence, this course has focused on helping you to begin to use iSIKHNAs data. These approaches may help you to improve animal health decision making.
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 {{fpblock|Appendix 2: Answers to Exercises|Themes256.png|This is where you will find the answers to the exercises in this Data Analysis course.}}
 = References =
 Dalgaard, P., 2008. Introductory Statistics with R. Springer.

← Revisi sebelumnya		Revisi per 17 Maret 2015 14.23
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	===[[Data Analysis Facilitator material]]===		===[[Data Analysis Facilitator material]]===
		+	[[File:Nuvola apps edu miscellaneous.png\|60px\|left]]

	=== Overview of data analysis ===		=== Overview of data analysis ===

@@ Baris 1: / Baris 1: @@
 ==Data analysis using iSIKHNAS data case studies==
 === Pre-requisites ===
 This course is for veterinarians within the Indonesian animal health system. It is assumed that participants will have completed the ''Excel'', ''Basic Field Epidemiology'' and ''Surveillance'' training modules before this course. If you already know about epidemiology and how to use Excel, then these pre-requisite modules are not required.
 === Objectives of course  ===
 The broader aim of the course is help participants make evidence based animal health policy decisions. This will assist them to improve livestock production and health in Indonesia.
@@ Baris 10: / Baris 14: @@
 === Learning approach  ===
 This course will be taught by analysing real iSIKHNAS data. Three case studies will be presented. During each case study, a question will be asked. Then the question will be answered by participants during practical exercises. Spaces are included after each exercise where you can write your answers. Answers to exercises are provided as Appendix 2. It is generally recommended that you answer the question before reading the answers.
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 In order to comprehensively address an animal health question it is important to develop a testable question (or hypothesis) from your objective. This hypothesis can then be tested using appropriate statistical tests and you can decide whether the data supports your idea.
 [[Data Analysis:Notes Sampling|'''Notes: Key concepts for Sampling''']]

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 Many screenshot videos will be used to assist you in understanding how to do exercises during the course. These can be played on several different software platforms including Windows media player.
-===[[Facilitator material]]===
+===[[Data Analysis Facilitator material]]===
 === Overview of data analysis  ===