Use of Age-Adjusted Suicide Rates in Time Series Studies in Canada

1997 ◽  
Vol 81 (2) ◽  
pp. 490-490
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Suicide Rates ◽  
Time Series Studies ◽  
Divorce Rates

For 1950–1985 age adjusted suicide rates were associated with marriage, birth, and divorce rates in Canada in the same way as were crude suicide rates.

Effect of Using Age-Adjusted Suicide Rates on Time-Series Studies of the American Suicide Rate

1992 ◽  
Vol 75 (3) ◽  
pp. 778-778
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Suicide Rate ◽  
Time Series Study ◽  
Suicide Rates ◽  
The Usa ◽  
Time Series Studies ◽  
Divorce Rates ◽  
Series Study

Divorce rates were significantly associated with crude suicide rates in a time-series study of the USA from 1950–1985 but not with age-adjusted suicide rates.

Time-Series Studies of the French Suicide Rate Using Age-Adjusted Rates

1998 ◽  
Vol 86 (1) ◽  
pp. 126-126
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Suicide Rate ◽  
Birth Rates ◽  
Male And Female ◽  
Female Suicide ◽  
Suicide Rates ◽  
Time Series Studies ◽  
Age Adjusted Rates

For France from 1950 to 1985, divorce, marriage and birth rates predicted the crude and the age-adjusted male and female suicide rates identically.

Marriage, Remarriage, Suicide and Homicide in America

1997 ◽  
Vol 81 (3_suppl) ◽  
pp. 1082-1082 ◽  
Author(s):  
David Lester
Keyword(s):  
Time Series ◽  
Homicide Rates ◽  
Suicide Rates ◽  
First Marriage ◽  
The Usa ◽  
Divorce Rates

In time-series regressions, remarriage and divorce rates for the USA from 1933–1935 to 1969–1971 predicted suicide rates while first marriage, remarriage, and divorce rates predicted homicide rates.

Predicting the Time-Series Suicide Rate in Japan by Motive: A Brief Note

2002 ◽  
Vol 45 (2) ◽  
pp. 149-152 ◽  
Author(s):  
David Lester ◽  
Yukio Saito
Keyword(s):  
Time Series ◽  
Suicide Rate ◽  
Social Indicators ◽  
Health Concerns ◽  
Time Series Study ◽  
Work Related ◽  
Suicide Rates ◽  
The Social ◽  
Divorce Rates ◽  
Series Study

In a time series study of suicide rates in Japan from 1978–1997, it was found that the social indicators which predict the suicide rates differ for suicides committed for interpersonal, work-related, and health concerns. While measures of domestic social integration predicted the suicide rate for interpersonal reasons, unemployment, and divorce rates predicted the suicide rate for work-related reasons.

Domestic Integration and Suicide in the Provinces of Canada

Crisis ◽  
1999 ◽  
Vol 20 (2) ◽  
pp. 59-63 ◽  
Author(s):  
Antoon A. Leenaars ◽  
David Lester
Keyword(s):  
Social Factors ◽  
Positive Association ◽  
Negative Association ◽  
Birth Rates ◽  
Marriage Rates ◽  
Suicide Rates ◽  
The Social ◽  
Divorce Rates ◽  
Low Levels ◽  
Over Time

Canada's rate of suicide varies from province to province. The classical theory of suicide, which attempts to explain the social suicide rate, stems from Durkheim, who argued that low levels of social integration and regulation are associated with high rates of suicide. The present study explored whether social factors (divorce, marriage, and birth rates) do in fact predict suicide rates over time for each province (period studied: 1950-1990). The results showed a positive association between divorce rates and suicide rates, and a negative association between birth rates and suicide rates. Marriage rates showed no consistent association, an anomaly as compared to research from other nations.

Time‐series analyses of firearm‐related Google searches and U.S. suicide rates 2004–2016

2021 ◽  
Author(s):  
Daniel W. Capron ◽  
Rita Andel ◽  
Martin Voracek ◽  
Benedikt Till ◽  
Thomas Niederkrotenthaler ◽  
...  
Keyword(s):  
Time Series ◽  
Suicide Rates ◽  
Time Series Analyses

scholarly journals Generalized linear mixed models in time series studies of air pollution

2011 ◽  
Vol 2 (4) ◽  
pp. 428-435 ◽  
Author(s):  
Ya–Hsiu Chuang ◽  
Sati Mazumdar ◽  
Taeyoung Park ◽  
Gong Tang ◽  
Vincent. C. Arena ◽  
...  
Keyword(s):  
Air Pollution ◽  
Time Series ◽  
Mixed Models ◽  
Generalized Linear Mixed Models ◽  
Linear Mixed Models ◽  
Time Series Studies

scholarly journals Determination of the Starting Point in Time Series for Trend Detection Based on Overlapping Trend

2016 ◽  
Vol 16 (6) ◽  
pp. 98-110
Author(s):  
Gao Xuedong ◽  
Gu Kan
Keyword(s):  
Time Series ◽  
Piecewise Linear ◽  
Negative Influence ◽  
Trend Detection ◽  
Computational Accuracy ◽  
Starting Point ◽  
Time Series Studies ◽  
Definition Of ◽  
Stage Characteristic

Abstract The traditional time series studies consider the time series as a whole while carrying on the trend detection; therefore not enough attention is paid to the stage characteristic. On the other hand, the piecewise linear fitting type methods for trend detection are lacking consideration of the possibility that the same node belongs to multiple trends. The above two methods are affected by the start position of the sequence. In this paper, the concept of overlapping trend is proposed, and the definition of milestone nodes is given on its base; these way not only the recognition of overlapping trend is realized, but also the negative influence of the starting point of sequence is effectively reduced. The experimental results show that the computational accuracy is not affected by the improved algorithm and the time cost is greatly reduced when dealing with the processing tasks on dynamic growing data sequence.

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