SOCR Simulated HELP Data - Revision history

Dinov: /* Variable Definitions */

2014-09-14T19:10:04Z

‎Variable Definitions

Dinov: /* Classroom use of this data set */

2014-09-12T22:41:21Z

‎Classroom use of this data set

Dinov: /* Classroom use of this data set */

2014-09-12T22:40:52Z

‎Classroom use of this data set

Dinov at 22:32, 12 September 2014

2014-09-12T22:32:53Z

Dinov: /* Classroom use of this data set */

2014-09-12T22:28:47Z

‎Classroom use of this data set

Dinov: /* Data Description */

2014-09-12T22:21:18Z

‎Data Description

Dinov: /* Notes */

2014-09-12T22:19:04Z

‎Notes

Dinov: /* Variable Definitions */

2014-09-12T22:14:23Z

‎Variable Definitions

Dinov: /* Data Description */

2014-09-12T22:13:33Z

‎Data Description

Dinov: /* Classroom use of this data set */

2014-09-12T22:10:17Z

‎Classroom use of this data set

@@ Line 58: / Line 58: @@
 *	age	age at baseline (in years) (range19–60)
 *	anysubstatus	use of any substance postdetox (0=no, 1=yes)see also daysanysub
-*	cesd*	Center for Epidemiologic Studies Depression scale (range 0–60)see also f1a – f1t
+*	cesd*	Center for Epidemiologic Studies Depression scale (range 0–60) see also f1a – f1t
-*	d1	how many times hospitalized for medical problems (lifetime)(range 0–100)
+*	d1	how many times hospitalized for medical problems, lifetime, (range 0–100)
-*	daysanysub	time (in days) to first use of any substance postdetox (range 0–268)see also anysubstatus
+*	daysanysub	time (in days) to first use of any substance postdetox (range 0–268) see also anysubstatus
-*	daysdrink	time (in days) to first alcoholicdrink post-detox (range 0–270)see also drinkstatus
+*	daysdrink	time (in days) to first alcoholicdrink post-detox (range 0–270) see also drinkstatus
 *	dayslink	time (in days) to linkage to primary care (range 0–456) see also linkstatus
 *	drinkstatus	use of alcohol postdetox (0=no,1=yes)see also daysdrink
@@ Line 101: / Line 101: @@
 *	substance	primary substance of abuse (alcohol, cocaine or heroin)
 *	treat	randomization group (0=usual care, 1=HELP clinic)
-−
 ===Notes===
 Data for continuous variables reports observed range at baseline.

@@ Line 7: / Line 7: @@
 The original Health Evaluation and Linkage to Primary (HELP) Care study had recruited adult inpatients in a detoxification unit. Researchers randomized the patients with no primary care physician to receive evaluations and a brief care intervention and investigated their findings relative to prior enrollment in primary medical care. The complete original dataset can be found [http://www.math.smith.edu/sasr/datasets.php here].
-==Classroom use of this data set==
+==[[SOCR_Simulated_HELP_Data_Activity|Classroom use of this data set]]==
 The simulated HELP data can be used to demonstrate a number of different statistical, modeling, inferential and data analytic techniques, see list below. The following [[SOCR_Simulated_HELP_Data_Activity|SOCR HELP Activity]] demonstrates exemplary use of these data using R.
 * Data I/O, summaries, visualization

@@ Line 9: / Line 9: @@
 ==Classroom use of this data set==
 The simulated HELP data can be used to demonstrate a number of different statistical, modeling, inferential and data analytic techniques, see list below. The following [[SOCR_Simulated_HELP_Data_Activity|SOCR HELP Activity]] demonstrates exemplary use of these data using R.
-* Data I/O, summaries, visualizaiton
+* Data I/O, summaries, visualization
 * Derived variables and data manipulation
 * Sorting and subsetting

← Older revision		Revision as of 22:32, 12 September 2014
Line 1,033:		Line 1,033:
	* SOCR Home page: http://www.SOCR.ucla.edu		* SOCR Home page: http://www.SOCR.ucla.edu

−	{{translate\|pageName=http://wiki.socr.umich.edu/index.php?title=~~SOCR_Data_NIPS_InfantVitK_ShotData~~}}	+	{{translate\|pageName=http://wiki.socr.umich.edu/index.php?title=SOCR_Simulated_HELP_Data}}

@@ Line 8: / Line 8: @@
 ==Classroom use of this data set==
-The simulated HELP data can be used to demonstrate a number of different statistical, modeling, inferential and data analytic techniques, among which are:
+The simulated HELP data can be used to demonstrate a number of different statistical, modeling, inferential and data analytic techniques, see list below. The following [[SOCR_Simulated_HELP_Data_Activity|SOCR HELP Activity]] demonstrates exemplary use of these data using R.
 * Data I/O, summaries, visualizaiton
 * Derived variables and data manipulation

@@ Line 109: / Line 109: @@
 * Reverse coding was used for items f1d, f1h, f1l, and f1p (as these questions are intrinsically positive in nature (e.g., hope), where as the remaining once are negative in nature (e.g., blues)).
 * Some subjects (e.g., case 13) did not have metadata (e.g., e2b) recorded for them.
 ==Data Table==

@@ Line 103: / Line 103: @@
-*	Notes:	Data for continuous variables reports observed range at baseline.
+===Notes===
-**		* marked variables are recorded at baseline and follow up (e.g., mcs is baseline measure, mcs1 is measure at 6 months, and mcs4 is measure at 24 months);
+Data for continuous variables reports observed range at baseline.
-**		for each of the 20 items in HELP section F1 (f1a, …, f1t), respondents were asked to indicate how often they behaved this way during the past week (0=rarely or none of the time, less than one day; 1 = some or a little of the time, 1 or 2 days; 2 = occasionally or a moderate amount of time, 3 or 4 days; or 3=most or all of the time, 5 to 7 days);
+* * marked variables are recorded at baseline and follow up (e.g., mcs is baseline measure, mcs1 is measure at 6 months, and mcs4 is measure at 24 months);
-**		Reverse coding was used for items f1d, f1h, f1l, and f1p (as these questions are intrinsically positive in nature (e.g., hope), where as the remaining once are negative in nature (e.g., blues)).
+* for each of the 20 items in HELP section F1 (f1a, …, f1t), respondents were asked to indicate how often they behaved this way during the past week (0=rarely or none of the time, less than one day; 1 = some or a little of the time, 1 or 2 days; 2 = occasionally or a moderate amount of time, 3 or 4 days; or 3=most or all of the time, 5 to 7 days);
-**		Some subjects (e.g., case 13) did not have metadata (e.g., e2b) recorded for them.
+* Reverse coding was used for items f1d, f1h, f1l, and f1p (as these questions are intrinsically positive in nature (e.g., hope), where as the remaining once are negative in nature (e.g., blues)).
 ==Data Table==

@@ Line 52: / Line 52: @@
 ==Data Description==
+===Variable Definitions===
+* id	random subject identifier (range 1–470)
 ==Data Table==

@@ Line 9: / Line 9: @@
 ==Classroom use of this data set==
 The simulated HELP data can be used to demonstrate a number of different statistical, modeling, inferential and data analytic techniques, among which are:
-* Data input and output
+* Data I/O, summaries, visualizaiton
 * Derived variables and data manipulation
 * Sorting and subsetting
-* Exploratory data analysis
+* [[SMHS_EDA|Exploratory data analysis]]
-* Bivariate relationship
+* [[SOCR_EduMaterials_ChartsActivities|Graphing and plotting of data (scatterplot, bubble chart, multiple plots, dotplot, etc.)]]
-* Contingency tables
+* [[SMHS_SLR|Bivariate relationship]]
-* Two-sample tests
+* [[AP_Statistics_Curriculum_2007_Contingency_Indep|Contingency tables]]
-* Survival analysis (Kaplan–Meier plot)
+* [[SMHS_HypothesisTesting|Two-sample tests]]
-* Scatterplot with smooth fit
+* [[SMHS_SurvivalAnalysis|Survival analysis (Kaplan–Meier plot)]]
-* Regression with prediction intervals
+* [[SOCR_EduMaterials_Activities_ScatterChart|Scatterplot with smooth fit]]
 * Linear regression with interaction
 * Regression diagnostics
 * Fitting stratified regression models
-* Two-way analysis of variance (ANOVA)
+* [[SMHS_ANOVA|Two-way analysis of variance (ANOVA)]]
-* Multiple comparisons
+* [[SMHS_CorrectionMultipleTesting|Multiple comparisons]]
 * Contrasts
 * Logistic regression
@@ Line 36: / Line 35: @@
 * Multinomial logit regression
 * Generalized additive model
-* Data transformations
+* [[SOCR_EduMaterials_Activities_PowerTransformFamily_Graphs|Data transformations]]
 * General linear model for correlated data
 * Random effects model
-* Generalized estimating equations (GEE) model
+* [[SMHS_GEE|Generalized estimating equations (GEE) model]]
 * Generalized linear mixed model
 * Proportional hazards regression model
 * Bayesian Poisson regression
-* Cronbach’s $\alpha$
+* [[SMHS_Cronbachs|Cronbach’s $\alpha$]]
-* Factor analysis
+* [[SMHS_PCA_ICA_FA|Factor analysis]]
 * Recursive partitioning
 * Linear discriminant analysis
-* Hierarchical clustering
+* [[SMHS_HLM|Hierarchical clustering]]
-* Graphing and plotting of data (scatterplot, bubble chart, multiple plots, dotplot, etc.)
+* [[SMHS_ROC|ROC curve]]
-* ROC curve
+* [[SMHS#Chapter_IV:_Special_Topics|Multiple imputation]]
 * Propensity score modeling