SMHS TimeSeriesAnalysis LOS - Revision history

Tdlee: Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

2020-03-03T18:52:50Z

Text replacement - "{{translate|pageName=http://wiki.stat.ucla.edu/socr/" to ""{{translate|pageName=http://wiki.socr.umich.edu/"

Pineaumi: /* Footnotes */

2016-05-24T14:37:07Z

‎Footnotes

Pineaumi: /* Multivariable logistic regression examining the association between social relationships and depression, anxiety, and suicidal ideation6 */

2016-05-24T14:36:55Z

‎Multivariable logistic regression examining the association between social relationships and depression, anxiety, and suicidal ideation6

Imoubara at 13:48, 23 May 2016

2016-05-23T13:48:42Z

Pineaumi: /* Applications */

2016-05-19T19:40:35Z

‎Applications

Pineaumi: /* Time series regression studies in environmental epidemiology (London Ozone Study 2002-2006) */

2016-05-19T19:40:03Z

‎Time series regression studies in environmental epidemiology (London Ozone Study 2002-2006)

Pineaumi: /* Applications */

2016-05-19T19:34:56Z

‎Applications

Pineaumi: /* Applications */

2016-05-19T19:34:23Z

‎Applications

Pineaumi: /* Irish Longitudinal Study on Ageing Example */

2016-05-19T19:33:28Z

‎Irish Longitudinal Study on Ageing Example

Pineaumi: /* Model Checking */

2016-05-19T19:32:37Z

‎Model Checking

← Older revision		Revision as of 18:52, 3 March 2020
Line 368:		Line 368:
	* SOCR Home page: http://www.socr.ucla.edu		* SOCR Home page: http://www.socr.ucla.edu

−	{{translate\|pageName=http://wiki.~~stat~~.~~ucla~~.edu~~/socr~~/index.php?title=SMHS_TimeSeriesAnalysis_LOS}}	+	"{{translate\|pageName=http://wiki.socr.umich.edu/index.php?title=SMHS_TimeSeriesAnalysis_LOS}}

@@ Line 357: / Line 357: @@
 ===Footnotes===
-* <sup>5</sup>http://psychsocgerontology.oxfordjournals.org/content/early/2013/03/13/geronb.gbt009.full
+* <sup>5</sup> http://psychsocgerontology.oxfordjournals.org/content/early/2013/03/13/geronb.gbt009.full
-* <sup>6</sup>http://www.jad-journal.com/article/S0165-0327%2815%2900145-7/fulltext
+* <sup>6</sup> http://www.jad-journal.com/article/S0165-0327%2815%2900145-7/fulltext
 ===Appendix===

@@ Line 355: / Line 355: @@
 ====Multivariable logistic regression examining the association between social relationships and depression, anxiety, and suicidal ideation<sup>6</sup>====
-<sup>5</sup>http://psychsocgerontology.oxfordjournals.org/content/early/2013/03/13/geronb.gbt009.full
+===Footnotes===
-<sup>6</sup>http://www.jad-journal.com/article/S0165-0327%2815%2900145-7/fulltext
+* <sup>5</sup>http://psychsocgerontology.oxfordjournals.org/content/early/2013/03/13/geronb.gbt009.full
 ===Appendix===

@@ Line 5: / Line 5: @@
 ====Questions====
-<li> Is there an association between day-to-day variation in ozone levels and daily risk of death?</li>
+*Is there an association between day-to-day variation in ozone levels and daily risk of death?
-<li> Is ozone exposure associated with the outcome is death or other confounders - temperature and relative humidity?</li>
+*Is ozone exposure associated with the outcome is death or other confounders - temperature and relative humidity?
 '''Reference:''' Bhaskaran K, Gasparrini A, Hajat S, Smeeth L, Armstrong B. Time series regression studies in environmental epidemiology. ''International Journal of Epidemiology''. 2013;42(4):1187-1195. doi:10.1093/ije/dyt092.

@@ Line 347: / Line 347: @@
   write.table(df_Irish_small , "data.csv", sep=",")
-==Applications==
+===Applications===
-===Frailty associations with sustained attention measures<sup>5</sup>===
+====Frailty associations with sustained attention measures<sup>5</sup>====
 Multinomial logistic regression analyses were used to examine frailty as the outcome variable were performed to determine associations between the sustained attention measures and prefrailty or frailty. Binary logistic regression analyses determined significant associations between the sustained attention measures and the individual frailty components. The regression models included age and gender and were also extended to include additional measures of cognitive processing speed (cognitive RT from CRT), executive function (Delta CTT), number of chronic conditions, and number of medications. We also included the quadratic term age2 to allow for any potential nonlinear effects of age on frailty in each regression model. For the independent variables in the multinomial logistic regression models, relative risk (RR) ratios with 95% confidence intervals (CIs) were provided. For the independent variables in the binary logistic regression models, OR with 95% CI were provided.
-===Multivariable logistic regression examining the association between social relationships and depression, anxiety, and suicidal ideation<sup>6</sup>===
+====Multivariable logistic regression examining the association between social relationships and depression, anxiety, and suicidal ideation<sup>6</sup>====
 <sup>5</sup>http://psychsocgerontology.oxfordjournals.org/content/early/2013/03/13/geronb.gbt009.full

@@ Line 1: / Line 1: @@
 ==[[SMHS_TimeSeriesAnalysis| SMHS: Time-series Analysis]] - Applications ==
-==Time series regression studies in environmental epidemiology (London Ozone Study 2002-2006)==
+===Time series regression studies in environmental epidemiology (London Ozone Study 2002-2006)===
 A time series regression analysis of a London ozone dataset including daily observations from 1 January 2002 to 31 December 2006. Each day has records of (mean) '''ozone''' levels that day, and the total number of '''deaths''' that occurred in the city.
-===Questions===
+====Questions====
 <li> Is there an association between day-to-day variation in ozone levels and daily risk of death?</li>
 <li> Is ozone exposure associated with the outcome is death or other confounders - temperature and relative humidity?</li>
@@ Line 228: / Line 228: @@
       main="From model adjusted for residual autocorrelation")
-===Irish Longitudinal Study on Ageing Example===
+====Irish Longitudinal Study on Ageing Example====
 The Irish Longitudinal Study on Ageing (TILDA), 2009-2011 <BR>

@@ Line 230: / Line 230: @@
 ===Irish Longitudinal Study on Ageing Example===
-The Irish Longitudinal Study on Ageing (TILDA), 2009-2011
+The Irish Longitudinal Study on Ageing (TILDA), 2009-2011 <BR>
+http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315<BR>
-http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315
+Kenny, Rose Anne. The Irish Longitudinal Study on Ageing (TILDA),<BR>
+-2011. ICPSR34315-v1. Ann Arbor, MI: Inter-university Consortium<BR>
-Kenny, Rose Anne. The Irish Longitudinal Study on Ageing (TILDA),
+Bibliographic Citation: for Political and Social Research [distributor], 2014-07-16.<BR>
 http://doi.org/10.3886/ICPSR34315.v1
 The Irish Longitudinal Study on Ageing (TILDA) is a major inter-institutional initiative led by Trinity College, Dublin, to improve in the quantity and quality of data, research and information related to aging in Ireland. Eligible respondents for this study include individuals aged ≥ 50 and their spouses or partners of any age. Annual interviews on a two yearly basis (N=8,504 people) in Ireland, collecting detailed information on all aspects of their lives, including the economic (pensions, employment, living standards), health (physical, mental, service needs and usage) and social aspects (contact with friends and kin, formal and informal care, social participation). Survey interviews, physical, and biological data are collected along with demographic variables (e.g., age, sex, marital status, household composition, education, and employment), and activities of daily living (ADL), aging, childhood, depression (psychology), education, employment, exercise, eyesight, families, family life, etc.

@@ Line 197: / Line 197: @@
   points(0:7,tablag[,1],pch=19)
-===Model Checking===
+<b>Model Checking</b>
 &#35;generate deviance residuals from unconstrained distributed lag model
   res6 <- residuals(model6,type="deviance")
 &#35;Figure A1: Plot of deviance residuals over time (London data)
@@ Line 209: / Line 208: @@
        main="Residuals over time",ylab="Deviance residuals",xlab="Date")
   abline(h=0,lty=2,lwd=2)
 &#35;Figure A2a: Residual plot for Model6: the residuals relate to the unconstrained distributed lag model with ozone
@@ Line 218: / Line 216: @@
   pacf(res6,na.action=na.omit,main="From original model")
 &#35;Include the 1-Day Lagged Residual in the Model
   model9 <- update(model6,.~.+Lag(res6,1))
 &#35;Figure A2b: residuals related to the unconstrained distributed lag model with ozone (lag days 0 to 7 inclusive),