2 replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
source | link

Here is another question from this websites that says among other things the following:

What can a statistical model say about causation?

This led to his motto:

NO CAUSATION WITHOUT MANIPULATION

which emphasized the importance of restrictions around experiments that consider causation. Andrew Gelman makes a similar point:

"To find out what happens when you change something, it is necessary to change it."...There are things you learn from perturbing a system that you'll never find out from any amount of passive observation.

check it out: http://stats.stackexchange.com/questions/2245/statistics-and-causal-inferenceStatistics and causal inference?

Here is another question from this websites that says among other things the following:

What can a statistical model say about causation?

This led to his motto:

NO CAUSATION WITHOUT MANIPULATION

which emphasized the importance of restrictions around experiments that consider causation. Andrew Gelman makes a similar point:

"To find out what happens when you change something, it is necessary to change it."...There are things you learn from perturbing a system that you'll never find out from any amount of passive observation.

check it out: http://stats.stackexchange.com/questions/2245/statistics-and-causal-inference

Here is another question from this websites that says among other things the following:

What can a statistical model say about causation?

This led to his motto:

NO CAUSATION WITHOUT MANIPULATION

which emphasized the importance of restrictions around experiments that consider causation. Andrew Gelman makes a similar point:

"To find out what happens when you change something, it is necessary to change it."...There are things you learn from perturbing a system that you'll never find out from any amount of passive observation.

check it out: Statistics and causal inference?

1
source | link

Here is another question from this websites that says among other things the following:

What can a statistical model say about causation?

This led to his motto:

NO CAUSATION WITHOUT MANIPULATION

which emphasized the importance of restrictions around experiments that consider causation. Andrew Gelman makes a similar point:

"To find out what happens when you change something, it is necessary to change it."...There are things you learn from perturbing a system that you'll never find out from any amount of passive observation.

check it out: http://stats.stackexchange.com/questions/2245/statistics-and-causal-inference