Template:Right Censored - Revision history

Kate Racaza: Redirected page to Types of Life Data

2012-08-14T07:01:58Z

← Older revision		Revision as of 07:01, 14 August 2012
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	~~=====Right Censored (Suspended) Data=====~~		#REDIRECT[[Types_of_Life_Data]]
	The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have right censored data (or suspended data) for the two units that did not failed. The term ''right censored'' implies that the event of interest (i.e., the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	[[~~Image:right censoring.png\|center\|400px\|Graphical representation of right censored data.~~]]

Kate Racaza at 10:42, 2 July 2012

2012-07-02T10:42:44Z

← Older revision		Revision as of 10:42, 2 July 2012
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			=====Right Censored (Suspended) Data=====
			The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have right censored data (or suspended data) for the two units that did not failed. The term ''right censored'' implies that the event of interest (i.e., the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	~~=====Right Censored (Suspended)=====~~		[[Image:right censoring.png\|center\|400px\|Graphical representation of right censored data.]]
	The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	[[Image:right censoring.png\|center\|~~250px~~\|Graphical representation of right censored data.]]

Nicolette Young: /* Right Censored (Suspended) */

2012-04-25T17:22:27Z

Right Censored (Suspended)

← Older revision		Revision as of 17:22, 25 April 2012
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	The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).		The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	[[Image:right censoring.png\|center\|~~400px~~\|Graphical representation of right censored data.]]		[[Image:right censoring.png\|center\|250px\|Graphical representation of right censored data.]]

Nicolette Young: /* Right Censored (Suspended) */

2012-03-13T15:57:28Z

Right Censored (Suspended)

← Older revision		Revision as of 15:57, 13 March 2012
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	The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).		The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	[[Image:~~ldachp4fig2~~.~~gif\|thumb~~\|center\|400px\|Graphical representation of right censored data.]]		[[Image:right censoring.png\|center\|400px\|Graphical representation of right censored data.]]

Pantelis: /* Right Censored (Suspended) */

2011-10-29T14:22:35Z

Right Censored (Suspended)

← Older revision		Revision as of 14:22, 29 October 2011
Line 3:		Line 3:
	The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).		The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

	[[Image:ldachp4fig2.gif\|thumb\|center\|~~300px~~\|Graphical representation of right censored data.]]		[[Image:ldachp4fig2.gif\|thumb\|center\|400px\|Graphical representation of right censored data.]]

Pantelis: Created page with ' =====Right Censored (Suspended)===== The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these …'

2011-10-29T14:20:49Z

Created page with ' =====Right Censored (Suspended)===== The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these …'

New page

=====Right Censored (Suspended)=====
The most common case of censoring is what is referred to as ''right censored data'', or ''suspended data''. In the case of life data, these data sets are composed of units that did not fail. For example, if we tested five units and only three had failed by the end of the test, we would have suspended data (or right censored data) for the two unfailed units. The term ''right censored'' implies that the event of interest (i.e. the time-to-failure) is to the right of our data point. In other words, if the units were to keep on operating, the failure would occur at some time after our data point (or to the right on the time scale).

[[Image:ldachp4fig2.gif|thumb|center|300px|Graphical representation of right censored data.]]